Sit to stand sensing using wearable IMUs based on adaptive Neuro Fuzzy and Kalman Filter

Omar Salah; Ahmed A. Ramadan; Salvatore Sessa; Ahmed M R Fath El-Bab; Ahmed Abo-Ismail; M. Zecca; Yo Kobayashi; Atsuo Takanishi; M. Fujie

doi:10.1109/HIC.2014.7038931

Sit to stand sensing using wearable IMUs based on adaptive Neuro Fuzzy and Kalman Filter

Omar Salah, Ahmed A. Ramadan, Salvatore Sessa, Ahmed M R Fath El-Bab, Ahmed Abo-Ismail, M. Zecca, Yo Kobayashi, Atsuo Takanishi, M. Fujie

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

This paper present a method for measuring the posture of a human body during different phases of sit to stand motion using inertial sensors. The proposed method fuses data from inertial sensors placed in trunk and thigh using Adaptive Neuro-Fuzzy Inference System (ANFIS) followed by a Kalman Filter (KF). The ANFIS attempts to estimate the position of shoulder of the human, at each sampling instant when measurement update step is carried out. The Kalman filter supervises the performance of the ANFIS with the aim of reducing the mismatch between the estimated and actual. The performance of the method is verified by measurements from VICON (motion analysis system). The obtained results show the effectiveness of the proposed algorithm in prediction the human shoulder position with root mean square error 0.018 m and 0.016 m in the x and y direction, respectively.

本文言語	English
ホスト出版物のタイトル	2014 IEEE Healthcare Innovation Conference, HIC 2014
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	288-291
ページ数	4
ISBN（印刷版）	9781467363648
DOI	https://doi.org/10.1109/HIC.2014.7038931
出版ステータス	Published - 2015 2月 10
外部発表	はい
イベント	2014 IEEE Healthcare Innovation Conference, HIC 2014 - Seattle, United States 継続期間: 2014 10月 8 → 2014 10月 10

Other

Other	2014 IEEE Healthcare Innovation Conference, HIC 2014
国/地域	United States
City	Seattle
Period	14/10/8 → 14/10/10

ASJC Scopus subject areas

医学（全般）
生体医工学

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10.1109/HIC.2014.7038931

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引用スタイル

Salah, O., Ramadan, A. A., Sessa, S., Fath El-Bab, A. M. R., Abo-Ismail, A., Zecca, M., Kobayashi, Y., Takanishi, A., & Fujie, M. (2015). Sit to stand sensing using wearable IMUs based on adaptive Neuro Fuzzy and Kalman Filter. In 2014 IEEE Healthcare Innovation Conference, HIC 2014 (pp. 288-291). Article 7038931 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HIC.2014.7038931

Salah, O, Ramadan, AA, Sessa, S, Fath El-Bab, AMR, Abo-Ismail, A, Zecca, M, Kobayashi, Y, Takanishi, A & Fujie, M 2015, Sit to stand sensing using wearable IMUs based on adaptive Neuro Fuzzy and Kalman Filter. in 2014 IEEE Healthcare Innovation Conference, HIC 2014., 7038931, Institute of Electrical and Electronics Engineers Inc., pp. 288-291, 2014 IEEE Healthcare Innovation Conference, HIC 2014, Seattle, United States, 14/10/8. https://doi.org/10.1109/HIC.2014.7038931

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title = "Sit to stand sensing using wearable IMUs based on adaptive Neuro Fuzzy and Kalman Filter",

abstract = "This paper present a method for measuring the posture of a human body during different phases of sit to stand motion using inertial sensors. The proposed method fuses data from inertial sensors placed in trunk and thigh using Adaptive Neuro-Fuzzy Inference System (ANFIS) followed by a Kalman Filter (KF). The ANFIS attempts to estimate the position of shoulder of the human, at each sampling instant when measurement update step is carried out. The Kalman filter supervises the performance of the ANFIS with the aim of reducing the mismatch between the estimated and actual. The performance of the method is verified by measurements from VICON (motion analysis system). The obtained results show the effectiveness of the proposed algorithm in prediction the human shoulder position with root mean square error 0.018 m and 0.016 m in the x and y direction, respectively.",

author = "Omar Salah and Ramadan, {Ahmed A.} and Salvatore Sessa and {Fath El-Bab}, {Ahmed M R} and Ahmed Abo-Ismail and M. Zecca and Yo Kobayashi and Atsuo Takanishi and M. Fujie",

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AU - Salah, Omar

AU - Ramadan, Ahmed A.

AU - Sessa, Salvatore

AU - Fath El-Bab, Ahmed M R

AU - Abo-Ismail, Ahmed

AU - Zecca, M.

AU - Kobayashi, Yo

AU - Takanishi, Atsuo

AU - Fujie, M.

PY - 2015/2/10

Y1 - 2015/2/10

N2 - This paper present a method for measuring the posture of a human body during different phases of sit to stand motion using inertial sensors. The proposed method fuses data from inertial sensors placed in trunk and thigh using Adaptive Neuro-Fuzzy Inference System (ANFIS) followed by a Kalman Filter (KF). The ANFIS attempts to estimate the position of shoulder of the human, at each sampling instant when measurement update step is carried out. The Kalman filter supervises the performance of the ANFIS with the aim of reducing the mismatch between the estimated and actual. The performance of the method is verified by measurements from VICON (motion analysis system). The obtained results show the effectiveness of the proposed algorithm in prediction the human shoulder position with root mean square error 0.018 m and 0.016 m in the x and y direction, respectively.

AB - This paper present a method for measuring the posture of a human body during different phases of sit to stand motion using inertial sensors. The proposed method fuses data from inertial sensors placed in trunk and thigh using Adaptive Neuro-Fuzzy Inference System (ANFIS) followed by a Kalman Filter (KF). The ANFIS attempts to estimate the position of shoulder of the human, at each sampling instant when measurement update step is carried out. The Kalman filter supervises the performance of the ANFIS with the aim of reducing the mismatch between the estimated and actual. The performance of the method is verified by measurements from VICON (motion analysis system). The obtained results show the effectiveness of the proposed algorithm in prediction the human shoulder position with root mean square error 0.018 m and 0.016 m in the x and y direction, respectively.

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DO - 10.1109/HIC.2014.7038931

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EP - 291

BT - 2014 IEEE Healthcare Innovation Conference, HIC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE Healthcare Innovation Conference, HIC 2014

Y2 - 8 October 2014 through 10 October 2014

ER -

Sit to stand sensing using wearable IMUs based on adaptive Neuro Fuzzy and Kalman Filter

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ASJC Scopus subject areas

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