This document describes an android-based automated wheelchair controlled via a smartphone. The wheelchair uses the accelerometer and Bluetooth in a smartphone to control two DC motors and drive the chair. An IR detection system is also used to detect obstacles and improve safety. Issues addressed include stability, controls, maneuverability and cost. Design considerations like dimensions, drive positions and caster stems are analyzed.
This document describes an android-based automated smart wheelchair that can be controlled via smartphone. Key points:
1) It uses a smartphone's built-in accelerometer sensors and Bluetooth technology to transmit control signals to a microcontroller connected to DC motors that power the wheelchair's wheels.
2) The microcontroller receives the Bluetooth signals and controls the wheelchair motion.
3) It allows for easier mobility for disabled users by automating the wheelchair and controlling it remotely with a smartphone.
Smart wheel chair based on voice recognition for handicappedSagar Bayas
This project aims to develop a voice controlled wheelchair system using a speech recognition module. The goal is to allow disabled or elderly people who have difficulty moving to control a wheelchair independently using their voice. The system uses a microcontroller and DC motors to move the wheelchair based on voice commands detected by the microphone. The voice commands will allow the user to move the wheelchair forward, backward, left, right, or stop. This aims to give users more independence and a better quality of life without relying on caregivers for mobility assistance.
it is a smart wheelchair which uses voice and bluetooth commands . Also consists of temperature and heartbeat sensors for continuous monitoring by the doctor.
This document describes an IOT-operated wheelchair that can be controlled through hand gestures. The wheelchair was implemented using an Android smartphone equipped with an accelerometer sensor for gesture recognition, a microcontroller, DC motors, an H-bridge motor driver, and Bluetooth. The wheelchair can move forward, backward, left and right based on gestures detected by the smartphone accelerometer. It is intended to help elderly and physically disabled users navigate inside their homes independently without external assistance. Some potential applications mentioned include use in hospitals and for disabled patients.
Iot operated wheel chair / smart wheelchair YOGEESH M
This document describes a project to create an IOT operated wheelchair that can be controlled through hand gestures using an accelerometer sensor. The wheelchair is intended to help elderly and physically disabled users navigate inside their home independently. It uses a Raspberry Pi microcontroller along with sensors like an IR sensor for obstacle detection and a camera for live video streaming. The wheelchair's motion in four directions is controlled by tilting the hand in those directions which is detected by the accelerometer sensor. This provides independent mobility assistance without requiring another person's help.
This document describes a wheelchair designed for physically disabled people that can be controlled through voice commands, ultrasonic sensors, and infrared sensors. The wheelchair has three driving modes - manual control using a joystick, voice control using various voice commands to navigate, and autonomous control where the wheelchair follows walls and avoids obstacles on its own. The electronic system uses feedback control of the motors, speech recognition, ultrasonic and infrared sensors, and a memory board. The multi-sensor system allows the wheelchair to safely detect obstacles and changes in floor level.
New development in sensors, radar and ultrasonic technologies has proved to be a boon for electronics
travelling aids (ETAs). These devices are widely used by blind and physically challenged peoples. C5 laser
cane, Mowat sensor, belt and binaural sonic aid, NAV guide cane are among popular electronic travelling
aids used by blind peoples. For physically challenged person electric wheel chairs controlled by joystick,
eye movement and voice recognition are also available but they have their own limitation in terms of
operating complexity, noise environment and cost. Our paper proposes an automated innovative
wheelchair controlled by neck position of person. It uses simple LEDs, photo sensor, motor and
microcontroller to control the movement of wheelchair
This document presents a project on developing a touch screen controlled wheelchair. The main objective is to design a microcontroller-based wheelchair that can be controlled via a touch screen for speed and direction. The wheelchair would move using a geared DC motor. It describes the components used, including an ATMega32 microcontroller, L293D motor driver, 50 RPM geared DC motor, and touch sensor. It provides details on how these components interface and work together to allow touch screen control of the wheelchair's movement and display status on an LCD screen. Potential applications are also discussed.
This document describes an android-based automated smart wheelchair that can be controlled via smartphone. Key points:
1) It uses a smartphone's built-in accelerometer sensors and Bluetooth technology to transmit control signals to a microcontroller connected to DC motors that power the wheelchair's wheels.
2) The microcontroller receives the Bluetooth signals and controls the wheelchair motion.
3) It allows for easier mobility for disabled users by automating the wheelchair and controlling it remotely with a smartphone.
Smart wheel chair based on voice recognition for handicappedSagar Bayas
This project aims to develop a voice controlled wheelchair system using a speech recognition module. The goal is to allow disabled or elderly people who have difficulty moving to control a wheelchair independently using their voice. The system uses a microcontroller and DC motors to move the wheelchair based on voice commands detected by the microphone. The voice commands will allow the user to move the wheelchair forward, backward, left, right, or stop. This aims to give users more independence and a better quality of life without relying on caregivers for mobility assistance.
it is a smart wheelchair which uses voice and bluetooth commands . Also consists of temperature and heartbeat sensors for continuous monitoring by the doctor.
This document describes an IOT-operated wheelchair that can be controlled through hand gestures. The wheelchair was implemented using an Android smartphone equipped with an accelerometer sensor for gesture recognition, a microcontroller, DC motors, an H-bridge motor driver, and Bluetooth. The wheelchair can move forward, backward, left and right based on gestures detected by the smartphone accelerometer. It is intended to help elderly and physically disabled users navigate inside their homes independently without external assistance. Some potential applications mentioned include use in hospitals and for disabled patients.
Iot operated wheel chair / smart wheelchair YOGEESH M
This document describes a project to create an IOT operated wheelchair that can be controlled through hand gestures using an accelerometer sensor. The wheelchair is intended to help elderly and physically disabled users navigate inside their home independently. It uses a Raspberry Pi microcontroller along with sensors like an IR sensor for obstacle detection and a camera for live video streaming. The wheelchair's motion in four directions is controlled by tilting the hand in those directions which is detected by the accelerometer sensor. This provides independent mobility assistance without requiring another person's help.
This document describes a wheelchair designed for physically disabled people that can be controlled through voice commands, ultrasonic sensors, and infrared sensors. The wheelchair has three driving modes - manual control using a joystick, voice control using various voice commands to navigate, and autonomous control where the wheelchair follows walls and avoids obstacles on its own. The electronic system uses feedback control of the motors, speech recognition, ultrasonic and infrared sensors, and a memory board. The multi-sensor system allows the wheelchair to safely detect obstacles and changes in floor level.
New development in sensors, radar and ultrasonic technologies has proved to be a boon for electronics
travelling aids (ETAs). These devices are widely used by blind and physically challenged peoples. C5 laser
cane, Mowat sensor, belt and binaural sonic aid, NAV guide cane are among popular electronic travelling
aids used by blind peoples. For physically challenged person electric wheel chairs controlled by joystick,
eye movement and voice recognition are also available but they have their own limitation in terms of
operating complexity, noise environment and cost. Our paper proposes an automated innovative
wheelchair controlled by neck position of person. It uses simple LEDs, photo sensor, motor and
microcontroller to control the movement of wheelchair
This document presents a project on developing a touch screen controlled wheelchair. The main objective is to design a microcontroller-based wheelchair that can be controlled via a touch screen for speed and direction. The wheelchair would move using a geared DC motor. It describes the components used, including an ATMega32 microcontroller, L293D motor driver, 50 RPM geared DC motor, and touch sensor. It provides details on how these components interface and work together to allow touch screen control of the wheelchair's movement and display status on an LCD screen. Potential applications are also discussed.
Hand movements based control of an intelligent wheelchair Using Accelerometer...IJERD Editor
This document describes a wheelchair control system using an accelerometer and sensors. The system uses an ADXL335 accelerometer to sense hand movements and control a wheelchair's direction through a microcontroller. An ultrasonic sensor detects obstacles and stairs, while an IR sensor detects obstacles. The accelerometer data is converted to digital and sent to a microcontroller to control DC motors and move the wheelchair forward, backward, left, right or stop based on hand tilts. Additional sensors prevent collisions and falling. The system provides affordable and hands-free wheelchair control. Future work may include GPS, GSM for emergencies, or alternative control methods like eye tracking.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This document describes a head movement controlled wheelchair that was developed by students to help people with limited mobility. The wheelchair can be controlled through tilt movements of the user's head, allowing paraplegics and quadriplegics to navigate using only head motions. Sensors are able to detect the head tilts and send signals to motors that drive the wheelchair in the corresponding directions. This provides an alternative control method that is easier to use than traditional wheelchairs for those with mobility impairments affecting their limbs. The system was tested successfully through computer simulations.
Shirsha Yaathra - Head Movement controlled Wheelchair - Research PaperChamila Wijayarathna
The document describes a project to develop a wheelchair mobility control system that is controlled by head movements for an army officer who has lost motor control below his neck. A tilt sensor is used to track head movements and send signals to an Arduino board which controls the wheelchair motors. Voice commands are also used for control. Ultrasonic sensors were added for obstacle detection and avoidance. The prototype was successfully tested and provides mobility for disabled individuals unable to use standard wheelchairs.
Touch screen controlled automatic wheel chair and homeBhavana Pemmaraju
This document describes a touch screen controlled automatic wheelchair and home appliance control system. The system uses a touch screen interface to control the movement of an electric wheelchair in all directions. It also allows the user to control home appliances remotely through the same touch screen interface and a Zigbee wireless communication system. The goal is to give physically disabled people independent mobility and control over their environment through a simple touch-based interface.
The document describes a hand gesture controlled wheelchair. An accelerometer is used to sense hand movements and control the wheelchair's movement forward, backward, left, and right. An obstacle sensor uses IR transmission and reflection to detect objects behind the wheelchair. The system allows disabled and elderly users to control a wheelchair through simple hand gestures for increased mobility and independence.
The document describes an eye movement controlled powered wheelchair for people with physical disabilities. It uses an optical eye tracking system to detect eye movements and translate them to commands to control the wheelchair's movement and direction. Sensors are also included for obstacle detection. The system aims to provide an alternative mobility option for those unable to use traditional interfaces. It consists of a wireless camera, computer for processing eye images, microcontrollers to transmit commands and control motors, and motors attached to the wheelchair. Eye movements are detected using computer vision algorithms and translated to forward, left, or right motions. Additional safety features like obstacle detection and a manual joystick mode are included. The wheelchair aims to improve mobility for quadriplegics and others through a non-invasive
The document outlines a hand gesture controlled wheelchair. It includes the wheelchair architecture with a microcontroller, accelerometer, LCD display, and transmitter/receiver for wireless control. The software required is Atmel Studio 6 and USBasp driver. It includes block and circuit diagrams. Estimated total cost is around $3,630, with major expenses being the wheelchair frame at $2,000 and the accelerometer at $400. The wheelchair can be controlled wirelessly using hand gestures detected by the accelerometer to move forward, backward, left, or right.
This document provides details about a project to create a smart wheelchair that can be controlled through hand gestures. A robotic arm is attached to the wheelchair to allow objects to be manipulated. The wheelchair and arm will be controlled by an Arduino using image processing of hand gestures from a camera. Inverse kinematics algorithms will be used to position the robotic arm. The project aims to help people with disabilities move freely and interact with objects.
This project is to develop a wheel chair for physically disabled people
The wheel chair is controlled by hand movement/hand gestures
The gestures are recognized by an accelerometer sensor
An ultrasonic sensor is used to detect the obstacles in front of the chair
The signals from the sensors are processed, and the wheel chair is controlled by Atmega-328 micro controller
Voice Controlled Wheel chair is a mobile wheel chair whose motions can be controlled by the user by giving specific voice commands. The speech recognition software running on a PC is capable of identifying the 5 voice commands ‘Run’, ‘Stop’, ‘Left’, ’Right’ and ‘Back’ issued by a particular User. This system controls the wheel chair as well as read the parameters of patient.
This document summarizes a research paper on developing a voice-controlled reclining wheelchair. The wheelchair is designed to give physically handicapped individuals more independence and freedom of mobility. It uses a voice recognition module and microcontroller to allow users to control the wheelchair's movement and reclining position using voice commands. Servomotors and actuators enable the reclining functionality, allowing the chair to fully recline like a bed. The goal is to create an affordable assistive device that improves users' quality of life. The researchers describe the device's components, operation, advantages, and conclude it can help reduce caregivers' workload while enhancing disabled individuals' autonomy.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
This document describes a project to build a voice-operated wheelchair for physically disabled persons. The objective is to design hardware for voice recognition and corresponding wheelchair actions. Group members include Mandar Jadhav, Mayuresh Todkar and Dayanand Patil, guided by Dr. V. Jayashree. The system is aimed to help those paralyzed below the neck or with quadriplegia. It will allow independent wheelchair movement through voice commands without need for personal assistance. The design uses a microphone, voice recognition IC, microcontroller, motor drivers and batteries to power DC motors for forward, reverse, left and right wheelchair movement.
This document describes an eye-controlled wheelchair that allows quadriplegic users to move independently. A webcam detects eye movements using MATLAB software and sends signals to a microcontroller. The microcontroller then drives motors to move the wheelchair left, right or straight. Key aspects include using eye detection algorithms to determine direction, an ATMega32A microcontroller to control motors based on eye signals, and safety features like speed control and blink detection to halt movement. The system aims to improve mobility for quadriplegic individuals but requires further refinement for commercial use, such as improving movement detection during casual eye movements.
it is a smart wheelchair which uses voice and bluetooth commands . Also consists of temperature and heartbeat sensors for continuous monitoring by the doctor.
The document presents a second presentation on a wireless gesture controlled robot developed by students at Dr. Ambedkar Institute of Technology for Handicapped. The presentation covers an introduction to gesture controlled robots, different types of gesture recognition including glove-based and vision-based, the working principle using an accelerometer, block and circuit diagrams of the proposed system, applications, and a conclusion stating the system was successfully developed at low cost and power to control a robot through natural gestures.
This document describes a direction controlled wheelchair for physically disabled people using voice control and an RF module. The wheelchair can be controlled through voice commands to a voice recognition module or through an RF remote. It also monitors the user's temperature and detects obstacles using sensors. The system uses a PIC microcontroller, voice recognition module, RF transmitter/receiver, temperature sensor, IR obstacle sensor, motor driver, and LCD display. The goal is to allow disabled individuals to move independently through voice or remote control while also monitoring their health conditions.
This document summarizes a technical seminar presented by Chikyala Sahithi on an Android-based smart automated wheelchair. The wheelchair uses the accelerometer and Bluetooth capabilities of a smartphone to control two DC motors based on the tilt of the phone. An infrared detection system helps avoid obstacles. The receiving section includes a microcontroller that receives Bluetooth signals from the phone and controls the wheelchair movement. Key advantages are lower cost than conventional models and obstacle detection, while disadvantages require periodic charging of both the phone and wheelchair batteries.
Research on Optimization, Dynamics and Stability of Stairclimbing WheelchairIJERA Editor
The document describes a proposed design for a stair-climbing wheelchair. It includes mechanical components like a custom chassis, axles connected to wheels via sprockets and gears to be powered by DC motors. Electrical components include motor drivers and sensors like an accelerometer and ultrasonic sensors. The wheelchair is controlled by a microcontroller board that processes inputs from a joystick and sensors. It controls motors and servos to enable climbing stairs and maintain stability. The design aims to allow physically challenged users to navigate difficult terrains like stairs with ease and safety.
Hand movements based control of an intelligent wheelchair Using Accelerometer...IJERD Editor
This document describes a wheelchair control system using an accelerometer and sensors. The system uses an ADXL335 accelerometer to sense hand movements and control a wheelchair's direction through a microcontroller. An ultrasonic sensor detects obstacles and stairs, while an IR sensor detects obstacles. The accelerometer data is converted to digital and sent to a microcontroller to control DC motors and move the wheelchair forward, backward, left, right or stop based on hand tilts. Additional sensors prevent collisions and falling. The system provides affordable and hands-free wheelchair control. Future work may include GPS, GSM for emergencies, or alternative control methods like eye tracking.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This document describes a head movement controlled wheelchair that was developed by students to help people with limited mobility. The wheelchair can be controlled through tilt movements of the user's head, allowing paraplegics and quadriplegics to navigate using only head motions. Sensors are able to detect the head tilts and send signals to motors that drive the wheelchair in the corresponding directions. This provides an alternative control method that is easier to use than traditional wheelchairs for those with mobility impairments affecting their limbs. The system was tested successfully through computer simulations.
Shirsha Yaathra - Head Movement controlled Wheelchair - Research PaperChamila Wijayarathna
The document describes a project to develop a wheelchair mobility control system that is controlled by head movements for an army officer who has lost motor control below his neck. A tilt sensor is used to track head movements and send signals to an Arduino board which controls the wheelchair motors. Voice commands are also used for control. Ultrasonic sensors were added for obstacle detection and avoidance. The prototype was successfully tested and provides mobility for disabled individuals unable to use standard wheelchairs.
Touch screen controlled automatic wheel chair and homeBhavana Pemmaraju
This document describes a touch screen controlled automatic wheelchair and home appliance control system. The system uses a touch screen interface to control the movement of an electric wheelchair in all directions. It also allows the user to control home appliances remotely through the same touch screen interface and a Zigbee wireless communication system. The goal is to give physically disabled people independent mobility and control over their environment through a simple touch-based interface.
The document describes a hand gesture controlled wheelchair. An accelerometer is used to sense hand movements and control the wheelchair's movement forward, backward, left, and right. An obstacle sensor uses IR transmission and reflection to detect objects behind the wheelchair. The system allows disabled and elderly users to control a wheelchair through simple hand gestures for increased mobility and independence.
The document describes an eye movement controlled powered wheelchair for people with physical disabilities. It uses an optical eye tracking system to detect eye movements and translate them to commands to control the wheelchair's movement and direction. Sensors are also included for obstacle detection. The system aims to provide an alternative mobility option for those unable to use traditional interfaces. It consists of a wireless camera, computer for processing eye images, microcontrollers to transmit commands and control motors, and motors attached to the wheelchair. Eye movements are detected using computer vision algorithms and translated to forward, left, or right motions. Additional safety features like obstacle detection and a manual joystick mode are included. The wheelchair aims to improve mobility for quadriplegics and others through a non-invasive
The document outlines a hand gesture controlled wheelchair. It includes the wheelchair architecture with a microcontroller, accelerometer, LCD display, and transmitter/receiver for wireless control. The software required is Atmel Studio 6 and USBasp driver. It includes block and circuit diagrams. Estimated total cost is around $3,630, with major expenses being the wheelchair frame at $2,000 and the accelerometer at $400. The wheelchair can be controlled wirelessly using hand gestures detected by the accelerometer to move forward, backward, left, or right.
This document provides details about a project to create a smart wheelchair that can be controlled through hand gestures. A robotic arm is attached to the wheelchair to allow objects to be manipulated. The wheelchair and arm will be controlled by an Arduino using image processing of hand gestures from a camera. Inverse kinematics algorithms will be used to position the robotic arm. The project aims to help people with disabilities move freely and interact with objects.
This project is to develop a wheel chair for physically disabled people
The wheel chair is controlled by hand movement/hand gestures
The gestures are recognized by an accelerometer sensor
An ultrasonic sensor is used to detect the obstacles in front of the chair
The signals from the sensors are processed, and the wheel chair is controlled by Atmega-328 micro controller
Voice Controlled Wheel chair is a mobile wheel chair whose motions can be controlled by the user by giving specific voice commands. The speech recognition software running on a PC is capable of identifying the 5 voice commands ‘Run’, ‘Stop’, ‘Left’, ’Right’ and ‘Back’ issued by a particular User. This system controls the wheel chair as well as read the parameters of patient.
This document summarizes a research paper on developing a voice-controlled reclining wheelchair. The wheelchair is designed to give physically handicapped individuals more independence and freedom of mobility. It uses a voice recognition module and microcontroller to allow users to control the wheelchair's movement and reclining position using voice commands. Servomotors and actuators enable the reclining functionality, allowing the chair to fully recline like a bed. The goal is to create an affordable assistive device that improves users' quality of life. The researchers describe the device's components, operation, advantages, and conclude it can help reduce caregivers' workload while enhancing disabled individuals' autonomy.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
This document describes a project to build a voice-operated wheelchair for physically disabled persons. The objective is to design hardware for voice recognition and corresponding wheelchair actions. Group members include Mandar Jadhav, Mayuresh Todkar and Dayanand Patil, guided by Dr. V. Jayashree. The system is aimed to help those paralyzed below the neck or with quadriplegia. It will allow independent wheelchair movement through voice commands without need for personal assistance. The design uses a microphone, voice recognition IC, microcontroller, motor drivers and batteries to power DC motors for forward, reverse, left and right wheelchair movement.
This document describes an eye-controlled wheelchair that allows quadriplegic users to move independently. A webcam detects eye movements using MATLAB software and sends signals to a microcontroller. The microcontroller then drives motors to move the wheelchair left, right or straight. Key aspects include using eye detection algorithms to determine direction, an ATMega32A microcontroller to control motors based on eye signals, and safety features like speed control and blink detection to halt movement. The system aims to improve mobility for quadriplegic individuals but requires further refinement for commercial use, such as improving movement detection during casual eye movements.
it is a smart wheelchair which uses voice and bluetooth commands . Also consists of temperature and heartbeat sensors for continuous monitoring by the doctor.
The document presents a second presentation on a wireless gesture controlled robot developed by students at Dr. Ambedkar Institute of Technology for Handicapped. The presentation covers an introduction to gesture controlled robots, different types of gesture recognition including glove-based and vision-based, the working principle using an accelerometer, block and circuit diagrams of the proposed system, applications, and a conclusion stating the system was successfully developed at low cost and power to control a robot through natural gestures.
This document describes a direction controlled wheelchair for physically disabled people using voice control and an RF module. The wheelchair can be controlled through voice commands to a voice recognition module or through an RF remote. It also monitors the user's temperature and detects obstacles using sensors. The system uses a PIC microcontroller, voice recognition module, RF transmitter/receiver, temperature sensor, IR obstacle sensor, motor driver, and LCD display. The goal is to allow disabled individuals to move independently through voice or remote control while also monitoring their health conditions.
This document summarizes a technical seminar presented by Chikyala Sahithi on an Android-based smart automated wheelchair. The wheelchair uses the accelerometer and Bluetooth capabilities of a smartphone to control two DC motors based on the tilt of the phone. An infrared detection system helps avoid obstacles. The receiving section includes a microcontroller that receives Bluetooth signals from the phone and controls the wheelchair movement. Key advantages are lower cost than conventional models and obstacle detection, while disadvantages require periodic charging of both the phone and wheelchair batteries.
Research on Optimization, Dynamics and Stability of Stairclimbing WheelchairIJERA Editor
The document describes a proposed design for a stair-climbing wheelchair. It includes mechanical components like a custom chassis, axles connected to wheels via sprockets and gears to be powered by DC motors. Electrical components include motor drivers and sensors like an accelerometer and ultrasonic sensors. The wheelchair is controlled by a microcontroller board that processes inputs from a joystick and sensors. It controls motors and servos to enable climbing stairs and maintain stability. The design aims to allow physically challenged users to navigate difficult terrains like stairs with ease and safety.
Sensotronic Brake Control (SBC) is an electronically controlled braking system that allows for faster and more precise braking than conventional hydraulic braking systems. SBC uses electronic sensors and controllers to monitor brake pedal input and wheel speeds and individually modulate brake pressure to each wheel. This provides for improved emergency braking, driving stability, braking comfort, and features like soft stops and hill hold. While SBC is more complex and expensive than traditional brakes, it paves the way for advanced driver assistance technologies and fully autonomous vehicles.
Drive by-wire systems in Automobiles pptABHISHEKPUND
The drive-by-wire is one of the recently developed technologies in the automotive industry. This ensures completely new driving with new dimensions. It changes bulky and inaccurate mechanical systems with an advanced and accurate electronic system. It is used by many automobile companies all over the world to replace steering control, brake control & throttle control. It also gives designers more space because there is a reduction in mechanical linkages inside the car. Some safety issues of which the people would have to be made aware, such as this system is completely safe as it is being used successfully in civil aircraft & military for years now.
This document proposes a mechanical system to automatically retract a motorcycle's side stand when the vehicle starts moving. The system uses a small sprocket connected to the bike's drive chain to power a lever that lifts the side stand. It is a simple, low-cost design that does not require external power or electronics. The proposed side stand retrieval system could improve safety by preventing accidents caused when riders forget to raise the side stand before driving.
This document describes a student project to develop an adaptive flexible headlights system for four-wheel vehicles. The system uses sensors to detect steering wheel position and adjust the headlights accordingly for improved visibility around turns. Key components include stepper motors, infrared sensors, a microcontroller, and LED matrix headlights. The students designed the mechanical and electrical systems, conducted calculations to determine appropriate headlight angles based on steering inputs, and fabricated a prototype. Testing showed the adaptive headlights improved nighttime visibility and safety during turns. Future work could refine the design for different vehicle speeds and dimming functions.
This document proposes a Sprocket Side-Stand Retrieve System to automatically lift a motorcycle's side stand if the rider forgets. It works by connecting a sprocket to the rear wheel's drive chain to power lifting and pushing levers. When the bike moves, the chain turns the sprocket and lifts the side stand. Over 36% of motorcycle accidents are due to forgetting to lift the side stand, so this low-cost system could save lives. It would require minimal changes to integrate across motorcycle models and would not impact performance.
Servomotor based electronic steering system in four wheeler vehicles by means...eSAT Journals
Abstract
In Olden Days Steering Mechanisms Developed To Turn A Vehicle At A Certain Radius While Negotiating A Turn Had A Greater
Steering Gear Ratio. For A Small Rotation Of The Steering Gear The Steering Wheel Had To Be Given A Greater Effort For
Larger Degree Of Rotation Than That Of The Steering Gear Inorder To Develop Torque For Turning The Vehicle. To Reduce The
Effort At The Steering Wheel, Power Steering Was Developed In The 18th Century. It Not Only Made Steering Easier But Also
Increased The Accuracy In Steering A Four Wheeled Vehicle. Precision Turning In Four Wheeled Vehicles Not Only Prevents The
Vehicle From Skidding But Also Prevents Road Accidents. Various Other Mechanisms Were Also Established For Reducing The
Steering Effort And Precision Turning Including Hydraulics As Well As Electronic Type. Taking Into Account The Various
Systems Of Steering As Well As Using A Bit Of Electronics And Microcontroller Application A Modern Technique Can Be
Developed Using A Servomotor, An Accelerometer And A Microprocessor For An Increased Precision In Steering Of A Vehicle
Which May Be Termed As The “Accelerometer Driven Servomotor Based Steering Gear” Or “A.S. Steering Gear”. In This
Paper, I Shall Discuss How To Use An Accelerometer To Control A Servomotor Inorder To Help In Steering Of A Vehicle By
Means Of Basic Microcontroller Applications And Programming.
Keywords— Servomotor, Accelerometer, Fundamental Law Of Correct Gearing, Steering Gear Ratio,
Microprocessor, Analog To Digital Conversion, Pulse Width Modulation, Rack And Pinion Assembly
The document describes the design of an electric powertrain for an electric bike. The goals are to install a 1KW hub motor, controller, contactor, converter, and accessories like an LCD display. A donor bike will be used for the chassis. Machine learning will be used for helmet detection and security features like fall detection will be added using an embedded system. The electric bike is expected to have benefits like lower expenses, zero emissions, instant torque and convenience of charging.
SMC Pneumatics appoints Shelley Automation as a high technology stocking distributor for SMC's pneumatic components and systems across Canada. The document provides an overview of Shelley Automation's product offerings which include sensors, vision systems, laser marking systems, motion control products, and engineering services to address the needs of Canadian manufacturers.
It shows information of new innovation technology power generation from speed breakers. for coming engineers and scientists
This file was submitted purely for presentation and knowledge sharing and gathered information from public domains mentioned in references.
@imaanbakshi
Efficient Motor Commutation through Advanced Position Sensing - The Trend tow...HEINZ OYRER
The session describes how contactless magnetic position sensors are optimized for use in high-speed brushless DC (BLDC) motors to meet reliability/efficiency requirements.
Attendees will learn:
• Major advantages of BLDC motors including higher efficiency, low noise, longer life, and higher reliability
• Key position sensing parameters and their relevance in the applications
• How contact-less magnetic position sensors are optimized for use in BLDC motor apps
• BLDC motor applications and key requirements in automotive and automation industries
The document describes the design and development of a solar-powered bicycle. It includes sections on objectives, methodology, assembly of components, connection of components, future applications, advantages, and conclusions. The bicycle is designed to be pedaled manually but also has a 500W DC motor powered by batteries that can be charged via flexible solar panels mounted on the frame. This provides assistance on hills and longer trips while being economically friendly, non-polluting, and suitable for a variety of users and transportation needs.
1) The document describes the design and construction of a hoverboard intended to allow smooth, balanced movement across a stage without visible leg movements.
2) A single motorized wheel design was selected to enable easy balancing corrections. The design uses a metal platform attached via chain drive to a 250W motor powered by two 12V lead acid batteries.
3) Additional features include swivel caster wheels, push-button switches concealed in the hands, and a total cost of 9250 INR. The final prototype achieves the goal of smooth, balanced movement for performances.
Harmonic - Catalog sản phẩm của Harmonic Long Trump
http://milotech.vn là nhà phân phối chính thức sản phẩm của hãng Harmonic Drive LLC. Đây là catalog chính thức các dòng sản phẩm Harmonic.
- Harmonic Gear (hộp số Harmonic)
- Harmonic Servo Drive
- Harmonic Actuator
Mọi chi tiết vui lòng liên hệ: sales.milotech@gmail.com
Gesture control wheel chair cum stretcherIRJET Journal
This document summarizes a research paper on developing a gesture-controlled wheelchair and stretcher system. The system uses accelerometers and microcontrollers to detect hand gestures and control electric motors that move the wheelchair in directions like left, right, forward, and brake. It can also convert the wheelchair into a stretcher by adjusting the seat height with actuators. The goal is to create a hands-free mobility aid for disabled users to control through natural hand motions. The paper describes the technical components, communication system, and hardware implementation to read gestures and translate them into wheelchair commands. The results demonstrate the ability to accurately control wheelchair direction and conversion through different hand position inputs.
This document describes a proposed 360 degree rotating wheel vehicle. The vehicle aims to reduce turning radius and space by allowing the vehicle to turn in place without leaving its center of gravity. It uses four independently rotating wheels that can turn 360 degrees, connected to DC motors. This zero turning mechanism allows the vehicle to easily maneuver in tight spaces like parking areas. The document outlines the design of the vehicle, including its frame, motors, gears, wiring and controls. It also provides calculations for wheel torque and reactions, cost estimates, advantages like being eco-friendly and battery powered, and potential future developments like using a single motor instead of separate motors. The vehicle aims to improve maneuverability and parking ability compared to traditional steering designs.
The document describes an IoT-based automatic braking system with a smart bumper for vehicles. The system uses components like an ESP8266, relay module, power supply module, servo motor, and ultrasonic sensor. It is designed to detect obstacles and activate the vehicle's braking system and bumper to prevent accidents. The system aims to reduce accidents and damage by providing automatic braking and bumper activation capabilities. It was tested against obstacles to check the sensors and braking function. Results were documented and the project was concluded to have achieved its goal of building a prototype automatic braking system with smart bumper for vehicle safety.
The document describes the design of a zero-turn radius system for a John Deere 5065E tractor. The system uses hydraulic tie rods attached to a double-acting cylinder to enable the rear wheels to rotate independently, allowing the tractor to turn within its own width. Calculations are shown for sizing the steering and tie rod cylinders and rods. The design also incorporates a hydrostatic transmission system to provide infinitely variable speed control for the rear wheels to facilitate zero-turn maneuvers. Performance simulations and a cost analysis are presented to evaluate the technical feasibility and cost-effectiveness of the zero-turn design.
This document provides a project report on generating electricity from speed breakers and windmills. It includes sections on fabrication details, main parts of the system like the wooden ramp, metal roller, chain and sprocket mechanism, freewheel mechanism, pulley and belt, dynamo, and windmill. The project aims to utilize the energy lost by vehicles passing over speed breakers to generate electricity, which can then be stored in batteries. Testing results showed an efficiency of 0.4-0.5% for energy captured from speed breakers.
2. OBJECTIVE
THIS PAPER PROJECTS AN ANDROID BASED SMART AUTOMATED
WHEEL CHAIR FOR HANDICAPPED /ELDERLY PEOPLE TO HELP
THEM. THIS WHEEL CHAIR IS BATTERY POWERED CONTROLLING
TWO D.C. MOTORS. THE CHAIR FUNCTIONS ON THE
ACCELEROMETER SENSOR IN BUILT IN MODERN DAY SMART-
PHONES. TILT OF THE SMARTPHONE IS GIVEN AS AN INPUT
COMMAND TO THE MICROCONTROLLER VIA BLUETOOTH MODULE
THE MOVEMENT OF THE D.C. MOTORS. DEPENDING ON THE
DIRECTION OF TILT OF THE SMART PHONE, THE
MICROCONTROLLER CONTROLS THE WHEELCHAIR DIRECTIONS.
ALSO AN I.R. DETECTION SYSTEM IS UPGRADED TO DETECT THE
OBSTACLE ON THE PATH OF WHEEL CHAIR AND MAKE OBJECT
COLLISION MORE AVOIDABLE. THUS MAKING HANDICAPPED
3. PROBLEM
DEFINITION
1) WHEEL CHAIR STABILITY IS AN ISSUE IN MOTORISED
WHEELCHAIRS . THIS ISSUE CREATES A PROBLEM IN HANDLING?
2) AUTOMATIC BRAKING SYSTEM WHICH IS USED FOR STOPPING
AND CONTROLLING THE WHEELCHAIR IS MISSING FROM MANY
PRESENT DAY WHEELCHAIR?
3) COST EFFECTIVE WHEELCHAIR IS AN ISSUE?
4) CHARGING THE BATTERY AFTER IT GETS DISCHARGED IS AN
ISSUE?
4. LITERARY SURVEY
IN THE PAPER ON “VOICE OPERATED WHEEL CHAIR” VOICE COMMAND INPUT
IS TAKEN FROM ANDROID MOBILE AND CONVERTED INTO TEXT AND THIS
TEXT IS GIVEN TO THE MICROCONTROLLER VIA BLUETOOTH MODULE TO
CONTROL THE OPERATION OF D.C. MOTORS.
IN THE PAPER “VOICE AND TOUCH SCREEN BASED AND SPEED CONTROL OF
WHEEL CHAIR FOR PHYSICALLY CHALLENGED USING ” INPUT TO IN TWO
WAYS I.E. VIA VOICE COMMAND OR TOUCH COMMAND I.E. HM 2007 IS USED
AS A VOICE RECOGNITION DEVICE. INPUT METHOD IS SWITCHED THROUGH
SWITCHES AND INPUT IS GIVEN BY ANY TWO METHODS . TWO D.C. MOTORS
ARE USED TO PROVIDE MOTION.
IN THE PAPER “A WHEEL CHAIR STEERED THROUGH VOICE COMMANDS AND
ASSISTED BY A REACTIVE FUZZY-LOGIC CONTROLLER”, VOICE COMMAND
CONTROLLED AND A FUZZY LOGIC CONTROLLER IS USED ALONG WITH A
SENSOR NETWORK TO AVOID COLLISION OF THE WHEEL CHAIR. FUZZY
LOGIC CONTROLLER IS USED TO RECTIFY PROBLEM CAUSED DUE TO LOW
5. INTRODUCTION
• This is an android based automated wheelchair that can be used by
differently abled.
• It uses android based smartphones which have inbuilt axis
accelerometer sensors and bluetooth wireless technology.
• The proposed concept exploits these features of the smart phones to
use at as a transmitter and control device.
7. • Often accelerometers is used to present landscape or portrait views of
the devices screen based on the way the device is being held.
• Bluetooth - Bluetooth present in the smartphone can be tapped using
protocol stacks in the app design environment of the mobile operating
system.
• Functional app-this app interfaces accelerometer to work with
Bluetooth module. E.g. bluetooth pro(by develectronicx)
8. RECEIVING SECTION
• Microcontroller-its need involves the reception of data signals that are
transmitted by the smartphone via Bluetooth module and control the
working of servo and DC motors.
• The wheelchair interacts with the smartphone app by means of this
Atmega 16 microprocessor via Bluetooth. –
9. MOTION DRIVER COMPONENTS
• DC motor- directional motor in wheelchair is provided by this motor (left-
right).
• For higher weights we need DC motors of high torque.
• The DC is connected to the axle of the rear wheel and is connected to a
battery through a motor driver which is being signaled by the controller.
• DC motor- for driving linear motion the type of motor generally used is a DC
motor with the higher RPM, torque.
• It is connected to the rear wheels of the wheelchairs.
15. MECHANICAL STRUCTURES &
DIMENSIONS
THE FOLLOWING FIGURE ILLUSTRATES THE IMPORTANT WHEELCHAIR
TERMINOLOGIES THAT NEEDS TO BE CONSIDERED WHILE DESIGNING A
WHEELCHAIR.
16. PERSONS WITH DISABILITIES ACT (1995) RECOGNISES THE RIGHTS OF
INDIANS WITH DISABILITIES AND CREATES OPPORTUNITIES FOR EQUAL
PARTICIPATION IN ALL GOVT. RUN INFRASTRUCTURES AND SERVICES.
THERE ARE CERTAIN STANDARDS AND GUIDELINES THAT ARE PROVIDED
REGARDING THE DIMENSIONAL SPECIFICATIONS OF A WHEELCHAIR BY
GOVERNMENT AGENCIES LIKE BUREAU OF INDIAN STANDARDS (BIS),
CENTRAL PUBLIC WORKS DEPARTMENT (CPWD), OFFICE OF CHIEF
COMMISSIONER FOR PERSONS WITH DISABILITIES (CCD) ETC. BASED ON
EXTENSIVE SURVEY AND RESEARCH ON THE POPULATION OF PEOPLE
WITH DISABILITIES WHO USE WHEELCHAIRS.
THE ACT DOES NOT COMMENT ON THESE DIFFERENT STANDARDS AND
GUIDELINES AND DOES NOT ENDORSE ANY ONE OF THEM. SO WE’RE JUST
GOING TO GO WITH BUREAU OF INDIAN STANDARDS’ RECOMMENDATIONS.
17. FIXED STANDARD
ACCORDING TO BIS (IS 7454 AND IS 4963) :
(ALL MEASUREMENTS ARE IN MILLIMETRES)
UNOCCUPIED WIDTH = 650-720
UNOCCUPIED LENGTH = 1000-1100
HANDLE HEIGHT = 910-950
ARMREST HEIGHT = 700-740
SEAT HEIGHT = 480-510
COMBINED KNEE + TOE CLEARANCE DEPTH = 400-450
18. CHOSEN STANDARD
FOR THE SCALED DOWN MODEL, THE DIMENSIONS WHICH WILL BE USED
ARE AS FOLLOWS:
UNOCCUPIED WIDTH = 325
UNOCCUPIED LENGTH = 500
HANDLE HEIGHT = 455
ARMREST HEIGHT = 350
SEAT HEIGHT = 240
COMBINED KNEE + TOE CLEARANCE DEPTH = 200
THE BASE PLATE LENGTH = UNOCCUPIED LENGTH - (COMBINED KNEE +
TOE CLEARANCE DEPTH ) = 500 - 200 = 300
19. DESIGN &
MANUVERABILITY
THE LOCATION OF THE DRIVE WHEELS (THE WHEELS POWERED BY
THE MOTOR) IN THE REAR, MIDDLE OR FRONT OF THE CHAIR HAS A
DEFINITE EFFECT ON THE CHAIR’S PERFORMANCE IN DIFFERENT
ENVIRONMENTS.
MANEUVERABILITY
THE POSITION OF THE DRIVE WHEELS SIGNIFICANTLY AFFECTS
THE SPACE NEEDED FOR THE CHAIR TO TURN AROUND, AND THE
WAY THE CHAIR MANEUVERS IN TIGHT SPACES.
MID-WHEEL AND FRONT-WHEEL DRIVES ARE LESS SENSITIVE TO
PROBLEMS CAUSED BY WEIGHT DISTRIBUTION THAN REAR-WHEEL
DRIVES.
20. MANUVERABILITY
MID-WHEEL DRIVES ARE THE MOST MANEUVERABLE BECAUSE THEY HAVE THE SMALLEST
360-DEGREE TURNING CIRCUMFERENCE AND THE TIGHTEST TURNING RADIUS (20 TO 26
INCHES), MAKING THEM EXCELLENT INDOOR CHAIRS.
FRONT-WHEEL DRIVES HAVE A TURNING RADIUS OF 25 TO 28 INCHES AND A LARGER 360-
DEGREE CIRCUMFERENCE THAN MID-WHEEL DRIVES. HOWEVER, THEY ACTUALLY NAVIGATE
AROUND TIGHT CORNERS BETTER THAN THE OTHER TWO DRIVE SYSTEMS BECAUSE THE
POSITION OF THE PIVOT POINT GIVES THEM A VERY SHORT FRONT END. BUT TURNING
AROUND IN A SMALL SPACE IS TRICKY BECAUSE OF THE LONG BACK END.
REAR-WHEEL DRIVES HAVE THE LARGEST 360-DEGREE CIRCUMFERENCE AND TURNING
RADIUS (30 TO 33 INCHES) OF THE THREE DRIVE SYSTEMS, MAKING THEM MORE DIFFICULT
TO MANEUVER IN TIGHT SPACES.
IN ADDITION, THE FOOTRESTS ON A REAR-WHEEL DRIVE CHAIR TAKE UP MORE SPACE
BECAUSE THEY’RE TYPICALLY ANGLED FORWARD AT ANYWHERE FROM 80 TO 60 DEGREES
IN ORDER TO CLEAR THE LARGER FRONT CASTERS.
ON FRONT-WHEEL DRIVE CHAIRS, THERE ARE NO FRONT CASTERS TO INTERFERE WITH
HAVING 90-DEGREE FOOTRESTS. WHEN THE FOOTRESTS ARE COUNTED IN THE TURNING
RADIUS MEASUREMENT, THEY ADD LESS THAN AN INCH.
21. HANDLING OBSTACLES &
INCLINES
FRONT-WHEEL DRIVES ARE OPTIMAL FOR TRAVERSING OBSTACLES
SUCH AS CURBS, GRASS, GRAVEL, UNEVEN TERRAIN AND SNOW. THIS
IS BECAUSE THE 14-INCH DRIVE WHEELS ARE THE FIRST WHEELS TO
ENCOUNTER OBSTACLES AND THEY PULL THE REST OF THE
WHEELCHAIR OVER THEM.
A REAR-WHEEL DRIVE MEANS THE DRIVE WHEELS ARE PUSHING THE
FRONT CASTERS OVER OBSTACLES. BECAUSE PUSHING IS HARDER
THAN PULLING, REAR-WHEEL DRIVES AREN’T QUITE AS EFFICIENT
GOING OVER OBSTACLES AS FRONT-WHEEL DRIVES.
22. CASTER STEM DESIGN
CASTER STEMS MUST BE KEPT AS VERTICAL AS POSSIBLE. CASTER STEMS
THAT ARE NOT VERTICAL CAUSE A NUMBER OF PROBLEMS. IF THE STEM
LEANS FORWARDS AT THE TOP THE CHAIR IS DIFFICULT TO TURN AND THE
KNEES ARE LOWER WHEELING FORWARDS THAN WHEN WHEELING
BACKWARDS. IF THE STEM IS LEANING BACKWARDS AT THE TOP, THE CHAIR IS
DIFFICULT TO KEEP IN A STRAIGHT LINE AND THE KNEES RAISE UP HIGHER
WHEN ROLLING FORWARDS. ALSO WHENEVER THE WHEELER STOPS THE
CHAIR WILL ROLL BACKWARDS A LITTLE.
23. ANALYSIS
WHEEL CHAIR
TYPES
TURNING
RADIUS(Inches)
Mid wheel drive
Wheel chair
20-26
Front wheel drive
Wheel chair
25-28
Rear wheel drive
Wheel chair
30-33
WHEEL CHAIR
TYPES
Step, bump or
curb that is up
to 2 inches
Step, bump or
curb that is up
to 2.5 inches
Step, bump or
curb that is up
to 3.2 inches
Step, bump or
curb that is up
to 3.3 inches
and high
Mid wheel drive
Wheel chair
Yes Yes No No
Front wheel
drive
Wheel chair
Yes Yes Yes Yes
Rear wheel
drive
Wheel chair
Yes No No No
24. WHEEL CHAIR TYPES Stability on straight path Stability on inclined path
Mid wheel drive
Wheel chair
equal more
Front wheel drive
Wheel chair
equal moderate
Rear wheel drive
Wheel chair
equal least
WHEEL CHAIR
TYPES
Front position Mid position End position
Front wheel drive
Wheel chair
Less stable stable stable
Mid wheel drive
Wheel chair
- - -
Rear wheel drive
Wheel chair
stable stable Less stable
Stability due to battery allocation on an inclined plane:
26. ADVANTAGES
• Less expensive then the conventional automatic wheel chairs.
• Obstacle detection using IR sensors.
• Front wheel drive provides high maneuverability
• Straight stem in caster help aids in smooth operation.
27. DISADVANTAGES
• Requires smartphone for operation as a accelerometer is the main
device over which the main system is dependent.
• Battery recharging is needed so smartphone battery and battery to
drive the motor have to periodically recharge and maintained.
28. SOLUTIONS TO
PROBLEMS
1.) THE VERTICAL CASTER STEM OF THE FREEWHEELS IN THE REAR END REDUCE THE STABILITY
RELATED ISSUES OF THE WHEELCHAIR .
2) CONTROLLING ISSUE IS HANDELED THROUGH THE USE OF I.R. SENSORS WHICH IMPROVE
CONTROL AND HANDLING.
3) MANUVERABILITY AND HANDLING OF THE WHEELCHAIR SYSTEM IS IMPROVED BY CHOOSING
THE FRONT WHEEL AS MOTOR DRIVES.
4) REDUCED COST OF THE WHEELCHAIR AS ONLY BLUETOOTH IS USED FOR COMMUNICATING
BETWEEN THE DEVICES RATHER THAN A VIRTUAL CIRCUIT. THUS THE COST OF ADDITIONAL
ELECTRICAL CIRCUITORY AND MECHANICAL GEAR ASSEMBLY IS REDUCED.
5) TWO 12 VOLTS 3.5 AMP BATTERIES WERE USED INSTEAD OF DIRECT CURRENT SUPPLY BUT
DUE TO OVERCHARGING OF THE BATTERIES THE CIRCUITS WERE BURNT AS THE DISCHARGING
RATE OF THE BATTERIES WERE 4.5 AMP AND THIS LED TO FAILURE . THEREFORE USE OF 12 VOLTS
, 3.5 AMP DC BATTERIES IS RESTRICTED UNTIL THE PROBLEM OF OVERCHARGING IS SOLVED.
29. IMPROVEMENTS AND MODIFICATION
• Can also alarm the user about the obstacle.
• Improvements can be made by using various hand gestures of the user.
• Battery can be recharged by alternator.
• Automatic balancing of sitting area can be provided using secondary
accelerometer in case of bumps and curbs.
• Movements can be controlled and location of wheelchair can be tracked
using server connection.
• Eyes movement based automated wheelchair.
30. REFERENCES
• Based on the research paper “Smartphone Accelerometer Controlled
Automated Wheelchair” by Vigneshwar. Santhanam and Vignesh. Viswanathan.
• http://psrcentre.org/images/extraimages/ICECEBE%20113824.pdf
• Wikipedia - Smartphone, http://en.wikipedia.org/wiki/Smartphone
• www.parth-shah.org
• mirley.firlej.org
• junweihuang.info
• nextsepian.com