Autonomous modeling of repetitive movement for rehabilitation exercise monitoring
Background: Insightful feedback generation for daily home-based stroke rehabilitation is currently unavailable due to the inefficiency of exercise inspection done by therapists. We aim to produce a compact anomaly representation that allows a therapist to pay attention to only a few specific section...
Main Authors: | Jatesiktat, Prayook, Lim, Guan Ming, Kuah, Christopher Wee Keong, Anopas, Dollaporn, Ang, Wei Tech |
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Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/161361 |
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