Concept Convertible Wheelchair With Ventilator And Monitoring Systemvivatechijri
The wheelchair is constructed in such a way that it can be passed over uneven surfaces easily. In this
wheelchair one cart can be connected to other and both can travelled simultaneously. This wheelchair is designed
to reduce the risk for wheelchair depending in adult pomper patients by Enzyme replacement therapy. In this
wheelchair it is designed in such a way that a lifting platform device for raising or lowering of a wheelchair is
provided. In this wheelchair The main objective of this system is to identify user perspectives on the issues that
impact the quality of the daily lives of ventilator, assisted individuals living in the community. This wheelchair is
designed in such a way that we don’t need help of hands to move it. The egocentric computer vision based corobot wheelchair so that the patient dosen’t need the hands to move the wheelchair
YOTG Hamburg - Florian Schumacher - Living in a world of personal dataYear of the X
Wearables and self-tracking are at the center of a revolution in health and well-being and quickly transform our society. The latest technologies enable people to track almost every aspect of their bodies and lives and establish a direct link between the users with their personal data and the research community. With more and more personal data being produced every day, it is now time for new business models and a new debate on society and ethics. In this talk, Florian is going to discuss the latest tech trends and their potential for businesses, politics and individuals.
Florian Schumacher @igrowdigital
Wearable computers, also known as body-borne computers are miniature electronic devices that are worn by the bearer under, with or on top of clothing.[1] This class of wearable technology has been developed for general or special purpose information technologies and media development. Wearable computers are especially useful for applications that require more complex computational support than just hardware coded logics.
One of the main features of a wearable computer is consistency.
Presentation at Transportation Techies, August 20, 2015, at Walk Hack Night on the work of the Kaiser Permanente Center for Total Health to install and analyze data from multiple population sensors, including ones using infrared and computed video technology.
Population sensors have great promise to promote physical activity compared to wearable devices, which can be expensive, impact privacy, and have low uptake and use.
IMPROVING POWER FACTORS BY USING LANDSMAN CONVERTER IN PMBLDC MOTORvivatechijri
Brushless DC in most commonly used motors in small scale applications like exhaust fans, Toys etc. The motor is supply by Voltage Source Inverter (VSI) with a dc-dc converter power factor correction circuit (PFC). Performance of dc-dc converters is analyzed and the results are discussed, third converter is best suited converter. By unity power factor the low-cost arrangement are provided. PID Logic Controller is utilized as the Controller for the BLDC motor. The Landsman Converter performs power factor correction and DC voltage control both are in a single controller. PFC converter improve the power quality in AC mains in wide range of speed and input AC voltage. In the PMBLDC Motor the electronic commutator of motor the Voltage Source Inverter is used.
MOST VIEWED ARTICLE FOR A YEAR IN ACADEMIA FOR MSEJmsejjournal
This paper presents a low speed permanent magnetic based generator which is suitable for supplying generating power from bicycle motion and application in providing energy for bicycle front and rear lightsor electronics devices. The dynamo have a hub axel, a hub housing rotatable mounted around the hub axel with bearing, a planetary drive that increases the rotational speed of the permanent magnet, and the power generating mechanism with coil fitted to hub axel that has connected to the output connector. In such a hub dynamo, the magnet rotates faster than the bicycle wheel so that power output is high even at the normal bicycle speeds.
Concept Convertible Wheelchair With Ventilator And Monitoring Systemvivatechijri
The wheelchair is constructed in such a way that it can be passed over uneven surfaces easily. In this
wheelchair one cart can be connected to other and both can travelled simultaneously. This wheelchair is designed
to reduce the risk for wheelchair depending in adult pomper patients by Enzyme replacement therapy. In this
wheelchair it is designed in such a way that a lifting platform device for raising or lowering of a wheelchair is
provided. In this wheelchair The main objective of this system is to identify user perspectives on the issues that
impact the quality of the daily lives of ventilator, assisted individuals living in the community. This wheelchair is
designed in such a way that we don’t need help of hands to move it. The egocentric computer vision based corobot wheelchair so that the patient dosen’t need the hands to move the wheelchair
YOTG Hamburg - Florian Schumacher - Living in a world of personal dataYear of the X
Wearables and self-tracking are at the center of a revolution in health and well-being and quickly transform our society. The latest technologies enable people to track almost every aspect of their bodies and lives and establish a direct link between the users with their personal data and the research community. With more and more personal data being produced every day, it is now time for new business models and a new debate on society and ethics. In this talk, Florian is going to discuss the latest tech trends and their potential for businesses, politics and individuals.
Florian Schumacher @igrowdigital
Wearable computers, also known as body-borne computers are miniature electronic devices that are worn by the bearer under, with or on top of clothing.[1] This class of wearable technology has been developed for general or special purpose information technologies and media development. Wearable computers are especially useful for applications that require more complex computational support than just hardware coded logics.
One of the main features of a wearable computer is consistency.
Presentation at Transportation Techies, August 20, 2015, at Walk Hack Night on the work of the Kaiser Permanente Center for Total Health to install and analyze data from multiple population sensors, including ones using infrared and computed video technology.
Population sensors have great promise to promote physical activity compared to wearable devices, which can be expensive, impact privacy, and have low uptake and use.
IMPROVING POWER FACTORS BY USING LANDSMAN CONVERTER IN PMBLDC MOTORvivatechijri
Brushless DC in most commonly used motors in small scale applications like exhaust fans, Toys etc. The motor is supply by Voltage Source Inverter (VSI) with a dc-dc converter power factor correction circuit (PFC). Performance of dc-dc converters is analyzed and the results are discussed, third converter is best suited converter. By unity power factor the low-cost arrangement are provided. PID Logic Controller is utilized as the Controller for the BLDC motor. The Landsman Converter performs power factor correction and DC voltage control both are in a single controller. PFC converter improve the power quality in AC mains in wide range of speed and input AC voltage. In the PMBLDC Motor the electronic commutator of motor the Voltage Source Inverter is used.
MOST VIEWED ARTICLE FOR A YEAR IN ACADEMIA FOR MSEJmsejjournal
This paper presents a low speed permanent magnetic based generator which is suitable for supplying generating power from bicycle motion and application in providing energy for bicycle front and rear lightsor electronics devices. The dynamo have a hub axel, a hub housing rotatable mounted around the hub axel with bearing, a planetary drive that increases the rotational speed of the permanent magnet, and the power generating mechanism with coil fitted to hub axel that has connected to the output connector. In such a hub dynamo, the magnet rotates faster than the bicycle wheel so that power output is high even at the normal bicycle speeds.
We invites students from the stream of BCA/MCA/BE to carry out their academic project work at our facility under the guidance of industry experts. The students will be working as project trainees. We offer them the necessary guidance & tools to help them to complete their academic projects in the most professional way. Most of our efforts are aimed towards showcasing new technologies
Application of Big Data Analysis and Internet of Things to the Intelligent Ac...gerogepatton
With the advent and rising usage of Internet of Things (IoT) eco-systems, there is a consequent, parallel
rise in opportunities where technology can find its place to improve a number of human conditions.
However, this is nothing new - we have been perfecting the usage of tools to aid our daily living
throughout history. The true evolution lies in the interaction between us and the tools we create. Tools
are now smart devices, yielding an opportunity where human-device interaction is giving us the very
knowledge on how to improve that particular synthesis. From improving our fitness to detecting
bradycardia and response of traumatic brain injury patient, we have come to a point where we are able
to gain actionable insight into a lot of aspects of our health and condition. This creates a certain
autonomy in understanding the unique make-up of every single person, in addition to yielding
information that can be used by health practitioners to help in diagnosis, determination of medical
approach and right recovery and follow-up methods. All of this supported by two major factors: IoT
platforms and Big Data Analysis (BDA).
This paper takes a deep dive into exemplary set-up of IoT platform and BDA framework necessary to
support the improvement of human condition. Our SmartLeg prosthetic device integrates advanced
prosthetic and robotic technology with the state-of-the-art machine learning algorithms capable of
adapting the working of the prosthesis to the optimal gait and power consumption patterns, which
provide means to customize the device to a particular user.
APPLICATION OF BIG DATA ANALYSIS AND INTERNET OF THINGS TO THE INTELLIGENT AC...ijaia
With the advent and rising usage of Internet of Things (IoT) eco-systems, there is a consequent, parallel rise in opportunities where technology can find its place to improve a number of human conditions. However, this is nothing new - we have been perfecting the usage of tools to aid our daily living throughout history. The true evolution lies in the interaction between us and the tools we create. Tools are now smart devices, yielding an opportunity where human-device interaction is giving us the very knowledge on how to improve that particular synthesis. From improving our fitness to detecting bradycardia and response of traumatic brain injury patient, we have come to a point where we are able to gain actionable insight into a lot of aspects of our health and condition. This creates a certain autonomy in understanding the unique make-up of every single person, in addition to yielding information that can be used by health practitioners to help in diagnosis, determination of medical approach and right recovery and follow-up methods. All of this supported by two major factors: IoT platforms and Big Data Analysis (BDA).
This paper takes a deep dive into exemplary set-up of IoT platform and BDA framework necessary to support the improvement of human condition. Our SmartLeg prosthetic device integrates advanced prosthetic and robotic technology with the state-of-the-art machine learning algorithms capable of adapting the working of the prosthesis to the optimal gait and power consumption patterns, which provide means to customize the device to a particular user.
APPLICATION OF BIG DATA ANALYSIS AND INTERNET OF THINGS TO THE INTELLIGENT AC...gerogepatton
With the advent and rising usage of Internet of Things (IoT) eco-systems, there is a consequent, parallel rise in opportunities where technology can find its place to improve a number of human conditions. However, this is nothing new - we have been perfecting the usage of tools to aid our daily living throughout history. The true evolution lies in the interaction between us and the tools we create. Tools are now smart devices, yielding an opportunity where human-device interaction is giving us the very knowledge on how to improve that particular synthesis. From improving our fitness to detecting bradycardia and response of traumatic brain injury patient, we have come to a point where we are able to gain actionable insight into a lot of aspects of our health and condition. This creates a certain autonomy in understanding the unique make-up of every single person, in addition to yielding information that can be used by health practitioners to help in diagnosis, determination of medical approach and right recovery and follow-up methods. All of this supported by two major factors: IoT platforms and Big Data Analysis (BDA).
Daily Human Activity Recognition using Adaboost Classifiers on Wisdm Datasetijtsrd
Human activity recognition is an important area of machine learning research as it has much utilization in different areas such as sports training, security, entertainment, ambient assisted living, and health monitoring and management. Studying human activity recognition shows that researchers are interested mostly in the daily activities of the human. Nowadays mobile phone is well equipped with advanced processor, more memory, powerful battery and built in sensors. This provides an opportunity to open up new areas of data mining for activity recognition of human's daily living. In the paper, the benchmark dataset is considered for this work is acquired from the WISDM laboratory, which is available in public domain. We tested experiment using AdaBoost.M1 algorithm with Decision Stump, Hoeffding Tree, Random Tree, J48, Random Forest and REP Tree to classify six activities of daily life by using Weka tool. Then we also see the test output from weka experimenter for these six classifiers. We found the using Adaboost,M1 with Random Forest, J.48 and REP Tree improves overall accuracy. We showed that the difference in accuracy for Random Forest, REP Tree and J48 algorithms compared to Decision Stump, and Hoeffding Tree is statistically significant. We also show that the accuracy of these algorithms compared to Decision Stump, and Hoeffding Tree is high, so we can say that these two algorithms achieved a statistically significantly better result than the Decision Stump, and Hoeffding Tree and Random Tree baseline. Khin Khin Oo "Daily Human Activity Recognition using Adaboost Classifiers on Wisdm Dataset" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28073.pdf Paper URL: https://www.ijtsrd.com/computer-science/data-miining/28073/daily-human-activity-recognition-using-adaboost-classifiers-on-wisdm-dataset/khin-khin-oo
Ecis final paper-june2017_two way architecture between iot sensors and cloud ...Oliver Neuland
Improving health care with IoT - Research into a weight monitoring bed - ECIS 2017 paper.
Resulting from smart furniture applications research project in Germany, Oliver Neuland and partners from AUT developed a smart bed concept which utilizes weight monitoring for AAL and elderly care. Initially strategies were applied to find meaningful use cases, later a prototype was developed. Here a paper presented during ECIS in Portugal which describes the architecture of the prototype.
In today’s world there are many disabled persons who find it difficult to perform movements or perform daily activities. This types of persons are mainly dependent on others for their assistance. But they can become self-independent and perform some daily activities on their own with the help of assistive devices. The most widely used assistive devices are Wheelchairs. Wheelchairs is basically a chair fitted with wheels, which can help people move around who cannot walk because of illness, disability or injury. But there are many disabled people with weak limbs and joints who cannot move the wheelchair. Thus, smart wheelchair can benefit a lot to them and everyone in society. Smart wheelchairs are electric powered wheelchairs with many extra components such as a computer and sensors which help the user or guardian accompanying wheelchair to handle it easily and efficiently. The recent development in the field of Artificial Intelligence, sensor technologies and robotics help the growth of wheelchairs with new features. This paper is to review the current state of art of smart wheelchairs and discuss the future research in this field.
We invites students from the stream of BCA/MCA/BE to carry out their academic project work at our facility under the guidance of industry experts. The students will be working as project trainees. We offer them the necessary guidance & tools to help them to complete their academic projects in the most professional way. Most of our efforts are aimed towards showcasing new technologies
Application of Big Data Analysis and Internet of Things to the Intelligent Ac...gerogepatton
With the advent and rising usage of Internet of Things (IoT) eco-systems, there is a consequent, parallel
rise in opportunities where technology can find its place to improve a number of human conditions.
However, this is nothing new - we have been perfecting the usage of tools to aid our daily living
throughout history. The true evolution lies in the interaction between us and the tools we create. Tools
are now smart devices, yielding an opportunity where human-device interaction is giving us the very
knowledge on how to improve that particular synthesis. From improving our fitness to detecting
bradycardia and response of traumatic brain injury patient, we have come to a point where we are able
to gain actionable insight into a lot of aspects of our health and condition. This creates a certain
autonomy in understanding the unique make-up of every single person, in addition to yielding
information that can be used by health practitioners to help in diagnosis, determination of medical
approach and right recovery and follow-up methods. All of this supported by two major factors: IoT
platforms and Big Data Analysis (BDA).
This paper takes a deep dive into exemplary set-up of IoT platform and BDA framework necessary to
support the improvement of human condition. Our SmartLeg prosthetic device integrates advanced
prosthetic and robotic technology with the state-of-the-art machine learning algorithms capable of
adapting the working of the prosthesis to the optimal gait and power consumption patterns, which
provide means to customize the device to a particular user.
APPLICATION OF BIG DATA ANALYSIS AND INTERNET OF THINGS TO THE INTELLIGENT AC...ijaia
With the advent and rising usage of Internet of Things (IoT) eco-systems, there is a consequent, parallel rise in opportunities where technology can find its place to improve a number of human conditions. However, this is nothing new - we have been perfecting the usage of tools to aid our daily living throughout history. The true evolution lies in the interaction between us and the tools we create. Tools are now smart devices, yielding an opportunity where human-device interaction is giving us the very knowledge on how to improve that particular synthesis. From improving our fitness to detecting bradycardia and response of traumatic brain injury patient, we have come to a point where we are able to gain actionable insight into a lot of aspects of our health and condition. This creates a certain autonomy in understanding the unique make-up of every single person, in addition to yielding information that can be used by health practitioners to help in diagnosis, determination of medical approach and right recovery and follow-up methods. All of this supported by two major factors: IoT platforms and Big Data Analysis (BDA).
This paper takes a deep dive into exemplary set-up of IoT platform and BDA framework necessary to support the improvement of human condition. Our SmartLeg prosthetic device integrates advanced prosthetic and robotic technology with the state-of-the-art machine learning algorithms capable of adapting the working of the prosthesis to the optimal gait and power consumption patterns, which provide means to customize the device to a particular user.
APPLICATION OF BIG DATA ANALYSIS AND INTERNET OF THINGS TO THE INTELLIGENT AC...gerogepatton
With the advent and rising usage of Internet of Things (IoT) eco-systems, there is a consequent, parallel rise in opportunities where technology can find its place to improve a number of human conditions. However, this is nothing new - we have been perfecting the usage of tools to aid our daily living throughout history. The true evolution lies in the interaction between us and the tools we create. Tools are now smart devices, yielding an opportunity where human-device interaction is giving us the very knowledge on how to improve that particular synthesis. From improving our fitness to detecting bradycardia and response of traumatic brain injury patient, we have come to a point where we are able to gain actionable insight into a lot of aspects of our health and condition. This creates a certain autonomy in understanding the unique make-up of every single person, in addition to yielding information that can be used by health practitioners to help in diagnosis, determination of medical approach and right recovery and follow-up methods. All of this supported by two major factors: IoT platforms and Big Data Analysis (BDA).
Daily Human Activity Recognition using Adaboost Classifiers on Wisdm Datasetijtsrd
Human activity recognition is an important area of machine learning research as it has much utilization in different areas such as sports training, security, entertainment, ambient assisted living, and health monitoring and management. Studying human activity recognition shows that researchers are interested mostly in the daily activities of the human. Nowadays mobile phone is well equipped with advanced processor, more memory, powerful battery and built in sensors. This provides an opportunity to open up new areas of data mining for activity recognition of human's daily living. In the paper, the benchmark dataset is considered for this work is acquired from the WISDM laboratory, which is available in public domain. We tested experiment using AdaBoost.M1 algorithm with Decision Stump, Hoeffding Tree, Random Tree, J48, Random Forest and REP Tree to classify six activities of daily life by using Weka tool. Then we also see the test output from weka experimenter for these six classifiers. We found the using Adaboost,M1 with Random Forest, J.48 and REP Tree improves overall accuracy. We showed that the difference in accuracy for Random Forest, REP Tree and J48 algorithms compared to Decision Stump, and Hoeffding Tree is statistically significant. We also show that the accuracy of these algorithms compared to Decision Stump, and Hoeffding Tree is high, so we can say that these two algorithms achieved a statistically significantly better result than the Decision Stump, and Hoeffding Tree and Random Tree baseline. Khin Khin Oo "Daily Human Activity Recognition using Adaboost Classifiers on Wisdm Dataset" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28073.pdf Paper URL: https://www.ijtsrd.com/computer-science/data-miining/28073/daily-human-activity-recognition-using-adaboost-classifiers-on-wisdm-dataset/khin-khin-oo
Ecis final paper-june2017_two way architecture between iot sensors and cloud ...Oliver Neuland
Improving health care with IoT - Research into a weight monitoring bed - ECIS 2017 paper.
Resulting from smart furniture applications research project in Germany, Oliver Neuland and partners from AUT developed a smart bed concept which utilizes weight monitoring for AAL and elderly care. Initially strategies were applied to find meaningful use cases, later a prototype was developed. Here a paper presented during ECIS in Portugal which describes the architecture of the prototype.
In today’s world there are many disabled persons who find it difficult to perform movements or perform daily activities. This types of persons are mainly dependent on others for their assistance. But they can become self-independent and perform some daily activities on their own with the help of assistive devices. The most widely used assistive devices are Wheelchairs. Wheelchairs is basically a chair fitted with wheels, which can help people move around who cannot walk because of illness, disability or injury. But there are many disabled people with weak limbs and joints who cannot move the wheelchair. Thus, smart wheelchair can benefit a lot to them and everyone in society. Smart wheelchairs are electric powered wheelchairs with many extra components such as a computer and sensors which help the user or guardian accompanying wheelchair to handle it easily and efficiently. The recent development in the field of Artificial Intelligence, sensor technologies and robotics help the growth of wheelchairs with new features. This paper is to review the current state of art of smart wheelchairs and discuss the future research in this field.
1. 'Smart shoe' devices could charge up as you walk
This energy harvesting device is mounted on the outside of a sneaker, but such devices can also be
embedded in the heel of a shoe to harvest energy as a person walks or runs. (Kelvis Ylli/IOP
Publishing)
The next generation of wearables could be powered by an unlikely energy source: you. Two new
devices that fit inside the sole of your shoe can harvest energy from your movements as you walk or
run, and then use that energy to power sensors and other electronics.
These devices could one day be used to create wearables that never need to be plugged into a
http://tanacre8741.webgarden.com/section-1/blog/selecting-uncomplicated-advice charger,
according to the researchers in Germany who developed them.
2. One of the devices, the "shock harvester," generates power when the heel of your shoe hits the
ground. The other device, dubbed the "swing harvester," generates power when your foot swings
forward as you walk or run. The harvesters can be connected to electronics inside your shoe that
track things like speed, movement and temperature.
"Both [devices] are based on the same principle -- electromagnetic induction," said Klevis Ylli, a
doctoral student at the Hahn-Schickard-Gesellschaft Institute of Micromachining and Information
Technology in Germany, and lead author of the paper outlining the new energy harvesting devices.
[10 Technologies That Will Transform Your Life]
Each device contains coils of wire and stacks of magnets. As the person wearing the device walks or
runs, the magnets move past the coils, causing the magnetic field within the coils to change. This
changing magnetic field creates a voltage, or charge, within the wire, which can then be used to
power whatever electronics are embedded in the shoe, Ylli told Live Science.
The swing harvester -- which is about 3 inches long, less than an inch wide and half an inch tall --
was originally developed to power a pair of self-lacing shoes. The device fits into the sole at the heel
of a shoe and weighs just under an ounce, which means that users hardly notice it when their legs
are swinging, Ylli said. The shock harvester is slightly bigger, and weighs about a third of a pound
and was developed for a different application -- providing power for an indoor navigation system.
Indoor navigation systems are an alternative to satellite-enabled GPS navigation systems, which
don't always work inside of buildings or in crowded urban areas. Used by firefighters and military
personnel, these indoor systems often utilize sensors to collect information about a person's location
and then transmit this data wirelessly to a central computer.
"For the indoor navigation system, there are sensors [accelerometers] within the shoe that
determine how fast you're moving, acceleration and the angles that your foot has traveled. And from
this data, the system can calculate the path that you have walked," Ylli said. A battery, also located
inside the shoe, is powered by the shock harvester, and keeps these sensors running.
In recent tests, Ylli and his colleagues connected the harvesters to a temperature sensor embedded
within the shoe of a study participant who was walking on a treadmill. The researchers found that
the person's walking generated enough electricity to power the temperature sensor as well as a
wireless transmitter inside the shoe that sent the temperature data from the sensor to a smartphone.
In the future, a similar setup could be used to transmit data from accelerometers embedded in a
shoe to a smartphone or tablet, Ylli said. Such a self-charging "smart shoe" would function much like
a fitness tracker, monitoring steps taken, as well as distance and speed.
"If you take a close look at the scientific http://www.newschool.edu/parsons/fashion-school/
environment, there are plenty of people working on these types of [harvesters] for shoes. I think
there is some interest there, and people have high hopes that harvesters will get better over time
and will be feasible for powering devices," Ylli said.
Going forward, Ylli said, he and his colleagues plan to optimize their harvesters to capture even
more energy from the human gait. A paper outlining their research so far was published Jan.14 in
the journal Smart Materials and Structures.
3. Editor's Note: This article was updated to include the proper weight of the swing harvester, which is
just under an ounce.
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