Hardware Selection for Realization of Ultra-portable Wireless Human Motion Measurement System (original) (raw)
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Low Power Shoe Integrated Intelligent Wireless Gait Measurement System
Journal of Physics: Conference Series, 2014
Gait analysis measurement is a method to assess and identify gait events and the measurements of dynamic, motion and pressure parameters involving the lowest part of the body. This significant analysis is widely used in sports, rehabilitation as well as other health diagnostic towards improving the quality of life. This paper presents a new system empowered by Inertia Measurement Unit (IMU), ultrasonic sensors, piezoceramic sensors array, XBee wireless modules and Arduino processing unit. This research focuses on the design and development of a low power ultra-portable shoe integrated wireless intelligent gait measurement using MEMS and recent microelectronic devices for foot clearance, orientation, error correction, gait events and pressure measurement system. It is developed to be cheap, low power, wireless, real time and suitable for real life in-door and out-door environment.
Gait Analysis Using a Wireless Shoe-Integrated Sensor System
analisedemarcha.com
This paper describes a wireless wearable system capable of measuring many parameters relevant to gait analysis, and developed to provide quantitative analysis of gait outside of the confines of the traditional motion laboratory. The extensive sensor suite includes three orthogonal accelerometers, and three orthogonal gyroscopes, four force sensors, two bi-directional bend sensors, two dynamic pressure sensors, as well as electric field height sensors. The "GaitShoe" was built to be worn on any athletic shoe, without interfering with gait, and was designed to collect data unobtrusively, in any environment, and over long periods of time. The calibrated sensor outputs were analyzed and validated with results obtained simultaneously from The Massachusetts General Hospital Biomotion Lab during subject testing. The GaitShoe proved highly capable of detecting heel strike and toe off, as well as estimating orientation and position of the subject.
Development of Shoe Attachment Unit for Rehabilitation Monitoring
Procedia Computer Science, 2014
The rehabilitation monitoring is a method to access and identify human body events and the measurements of dynamic and motion parameters involving the lower part of the body. This significant method is widely used in rehabilitation, sports and health diagnostic towards improving the quality of life. Thus, this research focuses on the development of a portable shoe integrated with wireless MEMS-based and recent microelectronic based system. It goes with the custom design package includes ultrasonic sensor, Inertia Measurement Unit (IMU), Xbee wireless signal transmission, microcontroller and power supply unit. The shoe system was tested and proven to satisfy the human movement analysis based on gait parameters which include foot clearance and foot orientation. From this research, it is found that the system was able to measure the movement parameter wirelessly with ease and efficient. Hence, to conclude this system can be used as the best method for real life rehabilitation monitoring system.
Design Analysis of a Mobile-Based Gait Analyzer
European Journal of Electrical and Computer Engineering (EJECE), 2019
Considering a system capable of identifying abnormalities in people's walking conditions in real-time, simply by studying his/her walking profile over a short period of time is a phenomenal breakthrough in the field of biotechnology. Such abnormalities could be as a result of injury, old age, or disease termed gait which could be analyzed using the pressure mapping technology. Pressure points in the feet of an injured person as he/she walks is analyzed by sets of sensors (capacitive sensors) carefully design with a rectangular 5.1cm by 2cm parallel aluminium plate and placed on developed footwear with a uniform distance of 1cm across the dielectric material. The output of the pre-processing stage gives varying values which are calibrated and sent to the microcontroller. All placed on a portable sized Printed Circuit Board (PCB) making it moveable from one place to another (that is, mobile), is the pre-processing circuit that converts measured or evaluated result to the transmittable signal through a Mobile Communication System which can be received on a Personal Computer (PC) in form of a periodic chat and/ or report. The result of the analysis is shown both in simulation and hardware implementation of the system
Gait Analysis Using a Shoe-Integrated Wireless Sensor System
IEEE Transactions on Information Technology in Biomedicine, 2000
We describe a wireless wearable system that was developed to provide quantitative gait analysis outside the confines of the traditional motion laboratory. The sensor suite includes three orthogonal accelerometers, three orthogonal gyroscopes, four force sensors, two bidirectional bend sensors, two dynamic pressure sensors, as well as electric field height sensors. The "GaitShoe" was built to be worn in any shoe, without interfering with gait and was designed to collect data unobtrusively, in any environment, and over long periods. The calibrated sensor outputs were analyzed and validated with results obtained simultaneously from the Massachusetts General Hospital, Biomotion Laboratory. The GaitShoe proved highly capable of detecting heel-strike and toe-off, as well as estimating foot orientation and position, inter alia.
Electronic device for gait analysis
Revista de Ciencia y Tecnología, 2022
In order to automate the determination of gait parameters, a system capable of acquiring data from inertial units, exploiting their maximum sampling frequency, was developed. The study of gait is one of the fundamental indicators for the evaluation of physical performance. It allows the estimation of the functional deterioration of the elderly in an objective way, so several tests have been designed to evaluate it. The system developed has two fundamental elements: an electronic device and a desktop application. The electronic device has the function of collecting data from the MPU-9255 sensor using an ESP32 to set the sampling rate, transmitting the data via WiFi to the computer and monitoring the system's battery. The desktop application allows the electronic device to be configured and controlled, as well as receiving, displaying and storing the data. As a result, a prototype capable of operating at a sampling frequency of 1 kHz was built. Tests carried out on the system demonstrate its reliability and allow the limits of sampling frequency and working distance to be set.
A wireless modular sensor architecture and its application in on-shoe gait analysis
Proceedings of IEEE Sensors 2003 (IEEE Cat. No.03CH37498)
We have developed a compact wireless modular sensor architecture, which contains a number of circuit boards (panes), currently used in an application for on-shoe gait analysis. Each pane instantiates a major function-e.g. inertial sensing, tactile sensing or data collection and transmission. As opposed to similar architectures, this system treats the sensor panes as discrete design objects that have data collection as their primary goal. This architecture has allowed us to develop a shoe-mounted system that is capable of measuring gait parameters outside of a traditional motion laboratory. The small size of the circuit boards allows for a compact attachment that fits on the back of the shoe, and the integrated wireless transceiver allows the data to be collected continuously and in any environment.
Benini L: A Wireless System for Gait and Posture Analysis Based
2015
Abstract- In this paper we describe a wireless wearable system to monitor gait, based on a customized pair of commercial insoles able to collect ground reaction forces by use of 24 embedded cells for each foot. Each insole was combined with a small form factor, low-power Inertial Measurement Unit (IMU) and enabled to communicate via Bluetooth with a base station. We present here the characterization of the system both in terms of performance and in terms of functionality. The system was tested on a subject to demonstrate the usability and the features extraction during gait; this data allow to recognize walking phase in terms of swing and stance phase, step and stride duration, double support and single support duration, both using the pressure sensors and the IMU.
Study and implementation of a wireless accelerometer network for gait analysis
IFMBE Proceedings, 2009
The purpose of this work is to develop a new wireless system implementing a network of accelerometers, based on the IEEE communication Std. 802.15.4, for gait analysis. 3-axis accelerometers are indeed well adapted for characterizing gait features. The IEEE 802.15.4 standard enables 250 kbps data transfers with very low power consumption. Our network of 10 such RF nodes with 3-axis accelerometers can record accelerations up to ± 10 g and shocks up to 50 Hz for tests on walking and running subjects. Accelerometers have been calibrated according to battery voltage and temperature variations. The average node power consumption is 14 mA, which allows 55 hours of use with two AAA batteries. A base station, connected to a PC, controls the whole 10 nodes system and collects the recorded data. Validation tests have shown that the system handles possible transmission problems. The system is robust and allows real time visualization of accelerations. The system could be easily reconfigured to incorporate other sensors.
The rehabilitation monitoring is a method to access and identify human body events and the measurements of dynamic and motion parameters involving the lower part of the body. This significant method is widely used in rehabilitation, sports and health diagnostic towards improving the quality of life. Thus, this research focuses on the development of a portable shoe integrated with wireless MEMS-based and recent microelectronic based system. It goes with the custom design package includes ultrasonic sensor, Inertia Measurement Unit (IMU), Xbee wireless signal transmission, microcontroller and power supply unit. The shoe system was tested and proven to satisfy the human movement analysis based on gait parameters which include foot clearance and foot orientation. From this research, it is found that the system was able to measure the movement parameter wirelessly with ease and efficient. Hence, to conclude this system can be used as the best method for real life rehabilitation monitoring system.