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

Autor:	Jonathan Zia, Pamela M. Robles-Franco, Troy McDaniel, Miles Laff, Ramin Tadayon, Mengjiao Geng, Sethuraman Panchanathan, Morris Goldberg
Rok vydání:	2015
Předmět:	Martial arts Rehabilitation Trainer Computer science business.industry medicine.medical_treatment education medicine.disease Motion (physics) Cerebral palsy User experience design Human–computer interaction Component (UML) medicine business Motor learning Avatar
Zdroj:	Human-Computer Interaction: Interaction Technologies ISBN: 9783319209159 HCI (2)
DOI:	10.1007/978-3-319-20916-6_46
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d7308ab014d7bedbfbaa52c8e5ea48a7 https://doi.org/10.1007/978-3-319-20916-6_46 Zobrazit plný text záznamu