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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2014 IEEE Healthcare Innovation Conference, HIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages288-291
Number of pages4
ISBN (Print)9781467363648
DOIs
Publication statusPublished - 2015 Feb 10
Externally publishedYes
Event2014 IEEE Healthcare Innovation Conference, HIC 2014 - Seattle, United States
Duration: 2014 Oct 82014 Oct 10

Other

Other2014 IEEE Healthcare Innovation Conference, HIC 2014
CountryUnited States
CitySeattle
Period14/10/814/10/10

ASJC Scopus subject areas

  • Medicine(all)
  • Biomedical Engineering

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    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). [7038931] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HIC.2014.7038931