Research Article
Design and Implementation of an Antagonistic Exercise Support System Using a Depth Image Sensor
@ARTICLE{10.4108/eai.13-7-2017.152887, author={T. Watanabe and K. Kamata and S.A. Hasan and S. Shibusawa and M. Kamada and T. Yonekura and M. Yamada and Y. Ohashi}, title={Design and Implementation of an Antagonistic Exercise Support System Using a Depth Image Sensor}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={3}, number={10}, publisher={EAI}, journal_a={PHAT}, year={2017}, month={7}, keywords={antagonistic exercise, depth image sensor, joint distance, exercise support system, rhythm games, preventive care.}, doi={10.4108/eai.13-7-2017.152887} }- T. Watanabe
K. Kamata
S.A. Hasan
S. Shibusawa
M. Kamada
T. Yonekura
M. Yamada
Y. Ohashi
Year: 2017
Design and Implementation of an Antagonistic Exercise Support System Using a Depth Image Sensor
PHAT
EAI
DOI: 10.4108/eai.13-7-2017.152887
Abstract
Dementia is one of the main reasons for elderly people becoming dependent on care. Antagonistic exercise, which involves performing different movements with the upper and lower limbs on the left and right sides, is a form of exercise that uses cognitive and motor functions at the same time. Preventive care professionals who can lead this sort of exercise are few in number compared with elderly people, and are under a heavy burden. On the other hand, the Kinect has become popular as a low-cost device that can acquire human actions. In this study we designed and implemented an antagonistic exercise support system using a Kinect. The user’s joint information acquired from Kinect is used to estimate the exercise, and the system provides real-time feedback to the user. We performed recognition accuracy tests with young and elderly test subjects, and carried out an interview survey to ascertain elderly user opinions.
Copyright © 2017 T. Watanabe et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
