Gait events detection using inertial sensors, Apple Watch, and the G-WALK reference system

H. J. Navarro; S. A. Salinas; W. J. Arenas; S. A. Sotelo; C. L. Rueda; M. E. Otero; M. A. Altuve; W. J. Jaimes

doi:10.1109/GMEPE/PAHCE50215.2021.9434858

Gait events detection using inertial sensors, Apple Watch, and the G-WALK reference system

H. J. Navarro
, S. A. Salinas
, W. J. Arenas
, S. A. Sotelo
, C. L. Rueda
, M. E. Otero
, M. A. Altuve
, W. J. Jaimes

Bioengineering, Signals, and Microelectronics

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

3 Scopus citations

Abstract

The main challenge in developing gait analysis systems is to ensure accuracy in the detection of gait eve nts. To achieve this, the development of algorithms that detect these events is critical. Besides, knowledge of the places where the events appear on the sensor signals is important. In this study, a method to detect two gait cycle events, in healthy subjects walking at their natural speed, was developed. Angular velocity signals acquired from three devices were used to evaluate the method. The devices were the G-WALK (Reference device), two Inertial Measurement Unit (IMU), and two Apple Watch. Experimental results demonstrated the ability of the method to detect initial contact or heel-strike (HS) and pre-balance or toe-off (TO) events, regardless of the location of the sensor.

Original language	English
Title of host publication	2021 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2021
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728170534
DOIs	https://doi.org/10.1109/GMEPE/PAHCE50215.2021.9434858
State	Published - 15 Mar 2021
Event	2021 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2021 - Virtual, Sevilla, Spain Duration: 15 Mar 2021 → 20 Mar 2021

Publication series

Name	Pan American Health Care Exchanges, PAHCE
Volume	2021-May
ISSN (Print)	2327-8161
ISSN (Electronic)	2327-817X

Conference

Conference	2021 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2021
Country/Territory	Spain
City	Virtual, Sevilla
Period	15/03/21 → 20/03/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

Apple Watch
gait cycle
inertial measurement unit.

Types Minciencias

Scientific events with a public engagement component

Access to Document

10.1109/GMEPE/PAHCE50215.2021.9434858

Cite this

Navarro, H. J., Salinas, S. A., Arenas, W. J., Sotelo, S. A., Rueda, C. L., Otero, M. E., Altuve, M. A., & Jaimes, W. J. (2021). Gait events detection using inertial sensors, Apple Watch, and the G-WALK reference system. In 2021 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2021 Article 9434858 (Pan American Health Care Exchanges, PAHCE; Vol. 2021-May). IEEE Computer Society. https://doi.org/10.1109/GMEPE/PAHCE50215.2021.9434858

@inproceedings{02a1141c97d9463cb483ddd302e22b92,

title = "Gait events detection using inertial sensors, Apple Watch, and the G-WALK reference system",

abstract = "The main challenge in developing gait analysis systems is to ensure accuracy in the detection of gait eve nts. To achieve this, the development of algorithms that detect these events is critical. Besides, knowledge of the places where the events appear on the sensor signals is important. In this study, a method to detect two gait cycle events, in healthy subjects walking at their natural speed, was developed. Angular velocity signals acquired from three devices were used to evaluate the method. The devices were the G-WALK (Reference device), two Inertial Measurement Unit (IMU), and two Apple Watch. Experimental results demonstrated the ability of the method to detect initial contact or heel-strike (HS) and pre-balance or toe-off (TO) events, regardless of the location of the sensor.",

keywords = "Apple Watch, gait cycle, inertial measurement unit.",

author = "Navarro, \{H. J.\} and Salinas, \{S. A.\} and Arenas, \{W. J.\} and Sotelo, \{S. A.\} and Rueda, \{C. L.\} and Otero, \{M. E.\} and Altuve, \{M. A.\} and Jaimes, \{W. J.\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2021 ; Conference date: 15-03-2021 Through 20-03-2021",

year = "2021",

month = mar,

day = "15",

doi = "10.1109/GMEPE/PAHCE50215.2021.9434858",

language = "Ingl{\'e}s",

series = "Pan American Health Care Exchanges, PAHCE",

publisher = "IEEE Computer Society",

booktitle = "2021 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2021",

}

Navarro, HJ, Salinas, SA, Arenas, WJ, Sotelo, SA , Rueda, CL, Otero, ME, Altuve, MA & Jaimes, WJ 2021, Gait events detection using inertial sensors, Apple Watch, and the G-WALK reference system. in 2021 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2021., 9434858, Pan American Health Care Exchanges, PAHCE, vol. 2021-May, IEEE Computer Society, 2021 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2021, Virtual, Sevilla, Spain, 15/03/21. https://doi.org/10.1109/GMEPE/PAHCE50215.2021.9434858

Gait events detection using inertial sensors, Apple Watch, and the G-WALK reference system. / Navarro, H. J.; Salinas, S. A.; Arenas, W. J. et al.
2021 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2021. IEEE Computer Society, 2021. 9434858 (Pan American Health Care Exchanges, PAHCE; Vol. 2021-May).

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

TY - GEN

T1 - Gait events detection using inertial sensors, Apple Watch, and the G-WALK reference system

AU - Navarro, H. J.

AU - Salinas, S. A.

AU - Arenas, W. J.

AU - Sotelo, S. A.

AU - Rueda, C. L.

AU - Otero, M. E.

AU - Altuve, M. A.

AU - Jaimes, W. J.

PY - 2021/3/15

Y1 - 2021/3/15

N2 - The main challenge in developing gait analysis systems is to ensure accuracy in the detection of gait eve nts. To achieve this, the development of algorithms that detect these events is critical. Besides, knowledge of the places where the events appear on the sensor signals is important. In this study, a method to detect two gait cycle events, in healthy subjects walking at their natural speed, was developed. Angular velocity signals acquired from three devices were used to evaluate the method. The devices were the G-WALK (Reference device), two Inertial Measurement Unit (IMU), and two Apple Watch. Experimental results demonstrated the ability of the method to detect initial contact or heel-strike (HS) and pre-balance or toe-off (TO) events, regardless of the location of the sensor.

AB - The main challenge in developing gait analysis systems is to ensure accuracy in the detection of gait eve nts. To achieve this, the development of algorithms that detect these events is critical. Besides, knowledge of the places where the events appear on the sensor signals is important. In this study, a method to detect two gait cycle events, in healthy subjects walking at their natural speed, was developed. Angular velocity signals acquired from three devices were used to evaluate the method. The devices were the G-WALK (Reference device), two Inertial Measurement Unit (IMU), and two Apple Watch. Experimental results demonstrated the ability of the method to detect initial contact or heel-strike (HS) and pre-balance or toe-off (TO) events, regardless of the location of the sensor.

KW - Apple Watch

KW - gait cycle

KW - inertial measurement unit.

UR - https://www.scopus.com/pages/publications/85107466183

U2 - 10.1109/GMEPE/PAHCE50215.2021.9434858

DO - 10.1109/GMEPE/PAHCE50215.2021.9434858

M3 - Ponencia publicada en las memorias del evento con ISBN

AN - SCOPUS:85107466183

T3 - Pan American Health Care Exchanges, PAHCE

BT - 2021 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2021

PB - IEEE Computer Society

T2 - 2021 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2021

Y2 - 15 March 2021 through 20 March 2021

ER -

Navarro HJ, Salinas SA, Arenas WJ, Sotelo SA , Rueda CL, Otero ME et al. Gait events detection using inertial sensors, Apple Watch, and the G-WALK reference system. In 2021 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges, GMEPE/PAHCE 2021. IEEE Computer Society. 2021. 9434858. (Pan American Health Care Exchanges, PAHCE). doi: 10.1109/GMEPE/PAHCE50215.2021.9434858

Gait events detection using inertial sensors, Apple Watch, and the G-WALK reference system

Abstract

Publication series

Conference

Bibliographical note

Keywords

Types Minciencias

Access to Document

Fingerprint

Cite this