Evaluation of wearable gyroscope and accelerometer sensor (PocketIMU2) during walking and sit-to-stand motions

Qi An, Yuki Ishikawa, Junki Nakagawa, Atsushi Kuroda, Hiroyuki Oka, Hiroshi Yamakawa, Atsushi Yamashita, Hajime Asama

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

13 被引用数 (Scopus)

抄録

Recently healthcare of the elderly people has become a serious issue in medical and rehabilitation areas. In order to know their functional mobility and provide sufficient medical treatment, it is important to measure their body state precisely and objectively. Therefore we developed a wearable and wireless sensor of gyroscope and accelerometer (PocketIMU2) as an easy and precise measurement of human motions. In the sensor, we employed a small and high accurate LiNbO3 crystal to achieve joint angle computation with simple integration of angular velocity. In the current paper, we evaluate the accuracy of the sensor in two important basic motion, such as a walking and sit-to-stand motions. Computed joint angles of ankle, knee, and hip are compared to the reference data measured from a optical motion capture system in term of coefficients of correlation and root mean square error. As a result, coefficient of correlation showed very high value for all joint angles, and root mean square error was adequately small. This strongly supports the usage of our developed gyroscope and accelerometer sensor for monitoring human body movement for medical usage.

本文言語英語
ホスト出版物のタイトル2012 IEEE RO-MAN
ホスト出版物のサブタイトルThe 21st IEEE International Symposium on Robot and Human Interactive Communication
ページ731-736
ページ数6
DOI
出版ステータス出版済み - 2012
外部発表はい
イベント2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012 - Paris, フランス
継続期間: 9 9 20129 13 2012

出版物シリーズ

名前Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

その他

その他2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012
Countryフランス
CityParis
Period9/9/129/13/12

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

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