Literature DB >> 34204656

A Fully Wireless Wearable Motion Tracking System with 3D Human Model for Gait Analysis.

Kevin Lee1, Wei Tang2.   

Abstract

This paper presents a wearable motion tracking system with recording and playback features. This system has been designed for gait analysis and interlimb coordination studies. It can be implemented to help reduce fall risk and to retrain gait in a rehabilitation setting. Our system consists of ten custom wearable straps, a receiver, and a central computer. Comparing with similar existing solutions, the proposed system is affordable and convenient, which can be used in both indoor and outdoor settings. In the experiment, the system calculates five gait parameters and has the potential to identify deviant gait patterns. The system can track upper body parameters such as arm swing, which has potential in the study of pathological gaits and the coordination of the limbs.

Entities:  

Keywords:  IMU; gait analysis; interlimb coordination; motion tracking; wearable devices

Year:  2021        PMID: 34204656     DOI: 10.3390/s21124051

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  1 in total

1.  A Vision-Based System for Stage Classification of Parkinsonian Gait Using Machine Learning and Synthetic Data.

Authors:  Jorge Marquez Chavez; Wei Tang
Journal:  Sensors (Basel)       Date:  2022-06-13       Impact factor: 3.847

  1 in total

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