scholarly journals Development of Gait Monitoring System Based on 3-axis Accelerometer and Foot Pressure Sensors

2016 ◽  
Vol 10 (3) ◽  
pp. 199-206
Author(s):  
In-Hwan Ryu ◽  
Sunwoo Lee ◽  
Hyungi Jeong ◽  
Kihoon Byun ◽  
Jang-Woo Kwon
Keyword(s):  
Monitoring System ◽  
Pressure Sensors ◽  
Foot Pressure ◽  
Gait Monitoring

Unobtrusive and Continuous Monitoring of Alcohol-impaired Gait Using Smart Shoes

2017 ◽  
Vol 56 (01) ◽  
pp. 74-82 ◽  
Author(s):  
Sunghoon I. Lee ◽  
Hyo Suk Nam ◽  
Jordan H. Garst ◽  
Alex Huang ◽  
Andrew Campion ◽  
...  
Keyword(s):  
Machine Learning ◽  
Monitoring System ◽  
Alcohol Intoxication ◽  
Pressure Sensors ◽  
Well Being ◽  
Value Analysis ◽  
Single Feature ◽  
Ubiquitous Environment ◽  
Gait Features ◽  
Gait Monitoring

SummaryBackground: Alcohol ingestion influences sensory-motor function and the overall well-being of individuals. Detecting alcoholinduced impairments in gait in daily life necessitates a continuous and unobtrusive gait monitoring system.Objectives: This paper introduces the development and use of a non-intrusive monitoring system to detect changes in gait induced by alcohol intoxication.Methods: The proposed system employed a pair of sensorized smart shoes that are equipped with pressure sensors on the insole. Gait features were extracted and adjusted based on individual’s gait profile. The adjusted gait features were used to train a machine learning classifier to discriminate alcohol-impaired gait from normal walking. In experiment of pilot study, twenty participants completed walking trials on a 12 meter walkway to measure their sober walking and alcohol-impaired walking using smart shoes.Results: The proposed system can detect alcohol-impaired gait with an accuracy of 86.2% when pressure value analysis and person-dependent model for the classifier are applied, while statistical analysis revealed that no single feature was discriminative for the detection of gait impairment.Conclusions: Alcohol-induced gait disturbances can be detected with smart shoe technology for an automated monitoring in ubiquitous environment. We demonstrated that personal monitoring and machine learning-based prediction could be customized to detect individual variation rather than applying uniform boundary parameters of gait.

scholarly journals DESIGN OF TIRE PRESSURE MONITORING SYSTEM USING A PRESSURE SENSOR BASE

SINERGI ◽  
2019 ◽  
Vol 23 (1) ◽  
pp. 70 ◽  
Author(s):  
Lukman Medriavin Silalahi ◽  
Mudrik Alaydrus ◽  
Agus Dendi Rochendi ◽  
Muhtar Muhtar
Keyword(s):  
Monitoring System ◽  
Pressure Sensor ◽  
Electronic Device ◽  
Pressure Sensors ◽  
Pressure Level ◽  
Automotive Sector ◽  
Pressure Monitoring ◽  
Alert System ◽  
Tire Pressure ◽  
Tire Pressure Monitoring System

Currently, the Tire Pressure Monitoring System (TPMS) only monitors the condition of a tire pressure. However, there are no particular reactions taking place after the value of its tire pressure is discovered. In fact, the value of a tire pressure determines driving comfort and safety Therefore, this research proposed a method to integrate a TPMS and a Pressure Sensor Base (PSB) with a particular reaction required to fulfill tires automatically. The proposed TPMS has an electronic device unit directly attached to a tire’s valve. This unit includes pressure sensors, microcontrollers, Bluetooth transmitters and batteries. An alert system is generated whenever tire pressure exceeds the maximum or minimum safe pressure level. Moreover, if the pressure measured is below the lowest level of the desired pressure, it will automatically activate the compressor. Several experiments have been carried out to analyze the proposed system. The integrated TPMS has proven to be able to be an alternative tool for the automotive sector to keep maintaining the tires and to improve a driving comfort and safety.

scholarly journals Smart textile device for shooter’s fingers movement monitoring

2021 ◽  
pp. 1-13
Author(s):  
Adelina Vevere ◽  
Alexander Oks ◽  
Alexei Katashev ◽  
Galina Terlecka ◽  
Laima Saiva ◽  
...  
Keyword(s):  
Monitoring System ◽  
Grip Force ◽  
Index Finger ◽  
Pressure Sensors ◽  
Middle Finger ◽  
Smart Textile ◽  
Single Sensor ◽  
Fast Release ◽  
Movement Monitoring

BACKGROUND: The manner in which shooters pull the trigger may significantly affect the shooter’s results. Shooting coaches are often not able to detect incorrect pull because of gun movement during the shot and recoil. OBJECTIVE: Development of the smart-textile based trigger pull monitoring system and demonstration of its ability to distinguish correct and wrong triggering techniques. METHODS: Two separated knitted resistive pressure sensors were integrated over III and II phalanges in the index finger fingerstall; single sensor was integrated over both III and II phalanges of the middle finger fingerstall. Resistance of the sensors was measured in a course of shots, performed by expert shooter, which simulated typical novice’s trigger pull errors. RESULTS: Sensors’ resistance recordings were made for following erroneous trigger pull motions: pulling of the trigger with index finger’s II phalanx instead of III; fast and jerky trigger pull (trigger tear-off); too fast release of the trigger after shot; and excessive grip force, applied by middle finger. For each type of erroneous movement, recordings waveforms included distinguishable features that characterised a particular type of error. CONCLUSIONS: The developed trigger pull monitoring system provides signals that could be used for recognition of the incorrect trigger pull motions during gun shots.

scholarly journals Estimate of Floor Reaction Force Vector Using Foot-Pressure Sensors

2008 ◽  
Vol 74 (739) ◽  
pp. 749-751 ◽  
Author(s):  
Kazuto MIYAWAKI ◽  
Takehiro IWAMI ◽  
Goro OBINATA ◽  
Yoichi SHIMADA
Keyword(s):  
Reaction Force ◽  
Pressure Sensors ◽  
Force Vector ◽  
Foot Pressure ◽  
Floor Reaction Force

scholarly journals Interactive Gait Rehabilitation System with a Locomotion Interface for Training Patients to Climb Stairs

2012 ◽  
Vol 21 (1) ◽  
pp. 16-30 ◽  
Author(s):  
Hiroaki Yano ◽  
Shintaro Tamefusa ◽  
Naoki Tanaka ◽  
Hideyuki Saito ◽  
Hiroo Iwata
Keyword(s):  
Pressure Sensors ◽  
Gait Training ◽  
Gait Rehabilitation ◽  
Healthy Individuals ◽  
Pressure Data ◽  
Foot Pressure ◽  
Interactive Mode ◽  
Rehabilitation System ◽  
Locomotion Interface

This paper describes the development of a gait rehabilitation system with a locomotion interface (LI) for training patients to climb stairs. The LI consists of two 2-DOF manipulators equipped with footpads. These can move the patient's feet while his or her body remains stationary. The footpads follow the prerecorded motion of the feet of healthy individuals. For gait training, the patient progresses sequentially through successively more advanced modes. In this study, two modes, the enforced climbing of stairs and interactive climbing of stairs, were developed. In the interactive mode, foot pressure sensors are used to realize interactive walking. Comparisons were made between the modes for healthy individuals and a patient. The effectiveness of the system was examined using electromyography (EMG) and foot pressure data.

Sign in / Sign up

Export Citation Format

Share Document