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.

Original languageEnglish (US)
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationInteraction Technologies - 17th International Conference, HCI International 2015, Proceedings
EditorsMasaaki Kurosu
PublisherSpringer Verlag
Pages495-506
Number of pages12
ISBN (Print)9783319209159
DOIs
StatePublished - 2015
Event17th International Conference on Human-Computer Interaction, HCI International 2015 - Los Angeles, United States
Duration: Aug 2 2015Aug 7 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9170
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other17th International Conference on Human-Computer Interaction, HCI International 2015
CountryUnited States
CityLos Angeles
Period8/2/158/7/15

Keywords

  • Autonomous Training Assistant
  • Computer–based learning
  • Human centered design and user centered design
  • Multimodal interface
  • User experience and usability

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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