Reinforcement Learning-Based Adaptive Biofeedback Engine for Overground Walking Speed Training-Reference-Cited by-同舟云学术

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Reinforcement Learning-Based Adaptive Biofeedback Engine for Overground Walking Speed Training

Published:2022-08-21 Issue: Volume: Page:
ISSN:
Container-title:2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)
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Author:

Zhang Huanghe¹,Li Shuai¹,Zhao Qingya¹,Rao Ashwini K.²,Guo Yi³,Zanotto Damiano¹

Affiliation:

1. Stevens Institute of Technology,Dept. of Mechanical Engineering,Hoboken,NJ,USA,07030

2. Columbia University,Dept. of Rehabilitation & Regenerative Medicine,New York,NY,USA,10032

3. Stevens Institute of Technology,Dept. of Electrical and Computer Engineering,Hoboken,NJ,USA,07030

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9925247/9925241/09925339.pdf?arnumber=9925339

Reference42 articles.

1. Cognitive status, fast walking speed and walking speed reserve—the Gait and Alzheimer Interactions Tracking (GAIT) study

2. Rhythmic auditory stimulation modulates gait variability in Parkinson's disease

3. An oscillator-based smooth real-time estimate of gait phase for wearable robotics

4. Transductive Learning Models for Accurate Ambulatory Gait Analysis in Elderly Residents of Assisted Living Facilities

5. Accurate Ambulatory Gait Analysis in Walking and Running Using Machine Learning Models

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