A wearable inertial sensing-based body sensor network for shoulder range of motion assessment
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This document presents a wearable body sensor network composed of two inertial modules placed on the upper limbs to assess shoulder range of motion in real-time. Each module contains an MCU, accelerometer, gyroscope and magnetometer. The sensors collect acceleration, velocity and magnetic data which is processed through a quaternion filter to minimize errors from sensor noise/drift and estimate shoulder movement without external devices.
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Systems (MEMS) accelerometers are used to capture the dynamic hand gesture. These sensors information is transferred to
the microcontroller from where these data are transferred wirelessly to the computer system for actual processing of the data
with the use of various algorithms.
iot contest file
1) The document describes an advanced wheelchair system that uses a sensor glove and voice recognition to allow disabled users to control the wheelchair and communicate through gestures and synthesized speech.
2) The sensor glove uses flex sensors and an accelerometer to detect finger positions and gestures, which are wirelessly transmitted to control the wheelchair's movement and display text and speech.
3) The system is intended to help physically disabled and deaf/mute users move independently and communicate more easily.
med_010_03_030928
This document describes an ultrasonic sensor-aided intelligent walking stick designed to assist visually impaired individuals. It uses a single ultrasonic sensor mounted on a stepper motor to detect obstacles in multiple directions, reducing costs. The sensor rotates 180 degrees to scan the area. Vibrators on the arm and finger alert the user to the obstacle's direction. It has two modes for indoor and outdoor use and costs $35-45, aiming to be affordable. The design provides safety and navigation assistance while minimizing complexity and expense through innovative components and mechanisms.
Use of mems based motion sensors in embedded
This document discusses MEMS-based motion sensors and their use in mobile applications. It describes that MEMS sensors like gyroscopes and accelerometers can be used to determine the precise position and orientation of mobile devices in 3D space. Gyroscopes detect angular rotation using the Coriolis effect. Accelerometers measure acceleration using capacitive plates. When combined, gyroscopes and accelerometers provide 6 degrees of freedom motion tracking through an inertial measurement unit. The document outlines the operating principles, components, and performance parameters of MEMS gyroscopes and accelerometers.
Caos and robotic surgeries
Computer-assisted orthopaedic surgery uses computer and robotic technologies to provide precision and accuracy to orthopaedic procedures. This includes pre-operative planning tools, intraoperative navigation equipment, smart tools, and remote surgery technologies. The key benefits of computer-assisted orthopaedics are improved geometric precision, reproducibility, and reduced radiation exposure compared to conventional surgery. Navigation systems precisely guide surgical tools using tracking systems and registration of pre-operative images.
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A wearable inertial sensing-based body sensor network for shoulder range of motion assessment
- 1. A WEARABLE INERTIAL-SENSING-BASED BODY SENSOR NETWORK FOR SHOULDER RANGE OF MOTION ASSESSMENT ABSTRACT: This paper presents a wearable inertial-sensing-based body sensor network (BSN) composed of two inertial modules that are placed on human upper limb for real-time human motion capture applications. Each inertial module consists of an ARM-based 32-bit microcontroller (MCU), a triaxial accelerometer, a triaxial gyroscope, and a triaxial magnetometer. To estimate shoulder range of motion (ROM), the accelerations, angular velocities, and magnetic signals are collected and processed by a quaternion-based complementary nonlinear filter for minimizing the cumulative errors caused by the intrinsic noise/drift of the inertial sensors. The proposed BSN is a cost-effective tool and can be used anywhere without any external reference device for shoulder ROM. The sensor fusion algorithm can reduce orientation error effectively and thus can assess shoulder joint motions accurately.