Abstract
We present a novel framework and system for at-home rehabilitative exercise in the absence of a physical therapist. The framework includes metrics for assessing motor performance on a wide variety of exercises. We present our system, the Autonomous Training Assistant, which utilizes this framework and a low-cost accessible exercise device called the Intelligent Stick to deliver feedback as a user trains at home. We evaluated the system's multimodal feedback mechanism in a case study whose results indicate that individual preference may have a significant effect on modality assignment for optimal learning. We conclude with ideas for future work.
| Original language | English (US) |
|---|---|
| Title of host publication | ASSETS 2016 - Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 293-294 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781450341240 |
| DOIs | |
| State | Published - Oct 23 2016 |
| Event | 18th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2016 - Reno, United States Duration: Oct 24 2016 → Oct 26 2016 |
Other
| Other | 18th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2016 |
|---|---|
| Country | United States |
| City | Reno |
| Period | 10/24/16 → 10/26/16 |
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Keywords
- At-home training
- Human-computer interaction
- Motor learning
- Rehabilitation
ASJC Scopus subject areas
- Computer Networks and Communications
- Human-Computer Interaction
- Hardware and Architecture
- Software
Cite this
Autonomous training assistant : A System and framework for guided at-home motor learning. / Tadayon, Ramin; McDaniel, Troy; Panchanathan, Sethuraman.
ASSETS 2016 - Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility. Association for Computing Machinery, Inc, 2016. p. 293-294.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Autonomous training assistant
T2 - A System and framework for guided at-home motor learning
AU - Tadayon, Ramin
AU - McDaniel, Troy
AU - Panchanathan, Sethuraman
PY - 2016/10/23
Y1 - 2016/10/23
N2 - We present a novel framework and system for at-home rehabilitative exercise in the absence of a physical therapist. The framework includes metrics for assessing motor performance on a wide variety of exercises. We present our system, the Autonomous Training Assistant, which utilizes this framework and a low-cost accessible exercise device called the Intelligent Stick to deliver feedback as a user trains at home. We evaluated the system's multimodal feedback mechanism in a case study whose results indicate that individual preference may have a significant effect on modality assignment for optimal learning. We conclude with ideas for future work.
AB - We present a novel framework and system for at-home rehabilitative exercise in the absence of a physical therapist. The framework includes metrics for assessing motor performance on a wide variety of exercises. We present our system, the Autonomous Training Assistant, which utilizes this framework and a low-cost accessible exercise device called the Intelligent Stick to deliver feedback as a user trains at home. We evaluated the system's multimodal feedback mechanism in a case study whose results indicate that individual preference may have a significant effect on modality assignment for optimal learning. We conclude with ideas for future work.
KW - At-home training
KW - Human-computer interaction
KW - Motor learning
KW - Rehabilitation
UR - http://www.scopus.com/inward/record.url?scp=85006725131&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85006725131&partnerID=8YFLogxK
U2 - 10.1145/2982142.2982192
DO - 10.1145/2982142.2982192
M3 - Conference contribution
AN - SCOPUS:85006725131
SP - 293
EP - 294
BT - ASSETS 2016 - Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility
PB - Association for Computing Machinery, Inc
ER -