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2015 | OriginalPaper | Buchkapitel

Interactive Motor Learning with the Autonomous Training Assistant: A Case Study

verfasst von : Ramin Tadayon, Troy McDaniel, Morris Goldberg, Pamela M. Robles-Franco, Jonathan Zia, Miles Laff, Mengjiao Geng, Sethuraman Panchanathan

Erschienen in: Human-Computer Interaction: Interaction Technologies

Verlag: Springer International Publishing

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Abstract

At-home exercise programs have met limited success in rehabilitation and training. A primary cause for this is the lack of a trainer’s presence for feedback and guidance in the home. To create such an environment, we have developed a model for the representation of motor learning tasks and training protocols. We designed a toolkit based on this model, the Autonomous Training Assistant, which uses avatar interaction and real-time multi-modal feedback to guide at-home exercise. As an initial case study, we evaluate a component of our system on a child with Cerebral Palsy and his martial arts trainer through three simple motion activities, demonstrating the effectiveness of the model in representing the trainer’s exercise program.

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Metadaten
Titel
Interactive Motor Learning with the Autonomous Training Assistant: A Case Study
verfasst von
Ramin Tadayon
Troy McDaniel
Morris Goldberg
Pamela M. Robles-Franco
Jonathan Zia
Miles Laff
Mengjiao Geng
Sethuraman Panchanathan
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-20916-6_46

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