A Wearable Gait Phase Detection System Based on Force Myography Techniques
(1) Background: Quantitative evaluation of gait parameters can provide useful information for constructing individuals’ gait profile, diagnosing gait abnormalities, and better planning of rehabilitation schemes to restore normal gait pattern. Objective determination of gait phases in a gai...
Main Authors: | Xianta Jiang, Kelvin H.T. Chu, Mahta Khoshnam, Carlo Menon |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-04-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/4/1279 |
Similar Items
-
Design of Instrumented Shoes for Gait Characterization: A Usability Study With Healthy and Post-stroke Hemiplegic Individuals
by: Dhaval Solanki, et al.
Published: (2018-07-01) -
Generation of Gait Events with a FSR Based Cane Handle
by: Andrés Trujillo-León, et al.
Published: (2021-08-01) -
Force Myography to Control Robotic Upper Extremity Prostheses: A Feasibility Study
by: Erina eCho, et al.
Published: (2016-03-01) -
Techniques for the detection and management of freezing of gait in Parkinson's disease – A systematic review and future perspectives
by: Sunil Kumar Bansal, et al.
Published: (2023-01-01) -
Gait Phase Recognition for Lower-Limb Exoskeleton with Only Joint Angular Sensors
by: Du-Xin Liu, et al.
Published: (2016-09-01)