Real-time gait event recognition for wearable assistive device using an IMU on thigh

Songyot Piriyakulkit; Yasuhisa Hirata; Hiroshi Ozawa

doi:10.1109/CBS.2017.8266123

Real-time gait event recognition for wearable assistive device using an IMU on thigh

Songyot Piriyakulkit, Yasuhisa Hirata, Hiroshi Ozawa

ENG - Robotics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

Abstract

In this paper, we propose a real-time gait event recognition method to specifically use with a wearable device designed to assist patients with lumbar kyphosis. Our proposed method utilizes only a single IMU attached on the left thigh area of the wearable device. The gait events of interest in this paper are Toe-off(TO) and Heel-strike(HS) which indicates the start of Swing phase and Stance phase, respectively. We identify these gait events by the detection of local minima and maxima in angular velocity and linear acceleration profiles of a thigh with heuristic functions. The results show that the proposed method is viable for our wearable device.

Original language	English
Title of host publication	2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	314-318
Number of pages	5
ISBN (Electronic)	9781538631942
DOIs	https://doi.org/10.1109/CBS.2017.8266123
Publication status	Published - 2017 Jul 2
Event	2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017 - Beijing, China Duration: 2017 Oct 17 → 2017 Oct 19

Publication series

Name	2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017
Volume	2018-January

Conference

Conference	2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017
Country/Territory	China
City	Beijing
Period	17/10/17 → 17/10/19

Keywords

gait event recognition
inertial measurement unit
wearable

Access to Document

10.1109/CBS.2017.8266123

Cite this

Piriyakulkit, S., Hirata, Y., & Ozawa, H. (2017). Real-time gait event recognition for wearable assistive device using an IMU on thigh. In 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017 (pp. 314-318). (2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBS.2017.8266123

Piriyakulkit, Songyot ; Hirata, Yasuhisa ; Ozawa, Hiroshi. / Real-time gait event recognition for wearable assistive device using an IMU on thigh. 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 314-318 (2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017).

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title = "Real-time gait event recognition for wearable assistive device using an IMU on thigh",

abstract = "In this paper, we propose a real-time gait event recognition method to specifically use with a wearable device designed to assist patients with lumbar kyphosis. Our proposed method utilizes only a single IMU attached on the left thigh area of the wearable device. The gait events of interest in this paper are Toe-off(TO) and Heel-strike(HS) which indicates the start of Swing phase and Stance phase, respectively. We identify these gait events by the detection of local minima and maxima in angular velocity and linear acceleration profiles of a thigh with heuristic functions. The results show that the proposed method is viable for our wearable device.",

keywords = "gait event recognition, inertial measurement unit, wearable",

author = "Songyot Piriyakulkit and Yasuhisa Hirata and Hiroshi Ozawa",

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year = "2017",

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Piriyakulkit, S, Hirata, Y & Ozawa, H 2017, Real-time gait event recognition for wearable assistive device using an IMU on thigh. in 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017. 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 314-318, 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017, Beijing, China, 17/10/17. https://doi.org/10.1109/CBS.2017.8266123

Real-time gait event recognition for wearable assistive device using an IMU on thigh. / Piriyakulkit, Songyot; Hirata, Yasuhisa; Ozawa, Hiroshi.
2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 314-318 (2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ozawa, Hiroshi

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N2 - In this paper, we propose a real-time gait event recognition method to specifically use with a wearable device designed to assist patients with lumbar kyphosis. Our proposed method utilizes only a single IMU attached on the left thigh area of the wearable device. The gait events of interest in this paper are Toe-off(TO) and Heel-strike(HS) which indicates the start of Swing phase and Stance phase, respectively. We identify these gait events by the detection of local minima and maxima in angular velocity and linear acceleration profiles of a thigh with heuristic functions. The results show that the proposed method is viable for our wearable device.

AB - In this paper, we propose a real-time gait event recognition method to specifically use with a wearable device designed to assist patients with lumbar kyphosis. Our proposed method utilizes only a single IMU attached on the left thigh area of the wearable device. The gait events of interest in this paper are Toe-off(TO) and Heel-strike(HS) which indicates the start of Swing phase and Stance phase, respectively. We identify these gait events by the detection of local minima and maxima in angular velocity and linear acceleration profiles of a thigh with heuristic functions. The results show that the proposed method is viable for our wearable device.

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KW - inertial measurement unit

KW - wearable

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Piriyakulkit S, Hirata Y, Ozawa H. Real-time gait event recognition for wearable assistive device using an IMU on thigh. In 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 314-318. (2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017). doi: 10.1109/CBS.2017.8266123

Real-time gait event recognition for wearable assistive device using an IMU on thigh

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