Redesign of Leg Assembly and Implementation of Reinforcement Learning for a Multi-Purpose Rehabilitation Robotic Device (RoboREHAB)
Patients who are suffering from neuromuscular disorders or injuries that impair motor control need to undergo rehabilitation to regain mobility. Gait training is commonly prescribed to patients to regain muscle memory. Automated-walking training devices were created to aid this process; while these...
Main Authors: | Jacob Anthony, Chung-Hyun Goh, Alireza Yazdanshenas, Yong Tai Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/14/2/516 |
Similar Items
-
A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport
by: Cortney Armitano-Lago, et al.
Published: (2022-01-01) -
Ergonomics Evaluation Using Motion Capture Technology—Literature Review
by: Filip Rybnikár, et al.
Published: (2022-12-01) -
CLET: Computation of Latencies in Event-related potential Triggers using photodiode on virtual reality apparatuses
by: Piyush Swami, et al.
Published: (2023-09-01) -
Leg Trajectory Planning for Quadruped Robots with High-Speed Trot Gait
by: Xuanqi Zeng, et al.
Published: (2019-04-01) -
Vertical Jump Data from Inertial and Optical Motion Tracking Systems
by: Mateo Rico-Garcia, et al.
Published: (2022-08-01)