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2019 | OriginalPaper | Chapter

Automatic Exercise Assistance for the Elderly Using Real-Time Adaptation to Performance and Affect

Authors : Ramin Tadayon, Antonio Vega Ramirez, Swagata Das, Yusuke Kishishita, Masataka Yamamoto, Yuichi Kurita

Published in: Universal Access in Human-Computer Interaction. Multimodality and Assistive Environments

Publisher: Springer International Publishing

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Abstract

This work presents the design of a system and methodology for reducing risk of locomotive syndrome among the elderly through the delivery of real-time at-home exercise assistance via intensity modulation of a worn soft exoskeleton. An Adaptive Neural Network (ANN) is proposed for the prediction of locomotive risk based on squat exercise performance. A preliminary pilot evaluation was conducted to determine how well these two performance metrics relate by training the ANN to predict test scores among three standard tests for locomotive risk with features from joint tracking data. The promising initial results of this evaluation are presented with discussions for future implementation of affective classification and a combined adaptation strategy.

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previous chapter The Contribution of Social Networks to the Technological Experience of Elderly Users

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Title: Automatic Exercise Assistance for the Elderly Using Real-Time Adaptation to Performance and Affect
Authors: Ramin Tadayon
Antonio Vega Ramirez
Swagata Das
Yusuke Kishishita
Masataka Yamamoto
Yuichi Kurita
Publisher: Springer International Publishing
Book: Universal Access in Human-Computer Interaction. Multimodality and Assistive Environments
Print ISBN: 978-3-030-23562-8

Electronic ISBN: 978-3-030-23563-5

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-23563-5_44

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