Gait Analysis: Head Vertical Movement Leads to Lower Limb Joint Angle Movements

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OriginalspracheEnglisch
Titel des Sammelwerks2022 IEEE International Conference on Consumer Electronics, ICCE 2022
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781665441544
ISBN (Print)9781665441551
PublikationsstatusVeröffentlicht - 2022
Veranstaltung2022 IEEE International Conference on Consumer Electronics, ICCE 2022 - Virtual, Online, USA / Vereinigte Staaten
Dauer: 7 Jan. 20229 Jan. 2022

Publikationsreihe

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
Band2022-January
ISSN (Print)0747-668X

Abstract

Supported by the increasing number of head-worn devices, such as earbuds and smart glasses, research on gait analysis using head-worn sensors has been emerged. These head-worn sensor solutions can be used to analyze natural gait patterns in daily life at lower costs. However, these approaches are limited to spatial-temporal gait parameters, and it is so far impossible to measure joint angle movements of the lower body because angles are normally measured by at least two sensors. To overcome the limitation, it is necessary to scrutinize the relationship between the head and lower body joints. In this paper, therefore, the causality between head vertical movement and lower limb joint movements was estimated using a transfer entropy analysis during walking. In total, 12 participants' gait patterns were analyzed. Strikingly, the transfer entropy direction from the head movements to the joint angle movements was more dominant than vice versa, which was the most obvious between the head and hip. This finding can lay the groundwork for simple secondary measurement of lower limb joint problems with the simple use of head-worn sensors.

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Gait Analysis: Head Vertical Movement Leads to Lower Limb Joint Angle Movements. / Hwang, Tonghun; Effenberg, Alfred.
2022 IEEE International Conference on Consumer Electronics, ICCE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; Band 2022-January).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Hwang, T & Effenberg, A 2022, Gait Analysis: Head Vertical Movement Leads to Lower Limb Joint Angle Movements. in 2022 IEEE International Conference on Consumer Electronics, ICCE 2022. Digest of Technical Papers - IEEE International Conference on Consumer Electronics, Bd. 2022-January, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE International Conference on Consumer Electronics, ICCE 2022, Virtual, Online, USA / Vereinigte Staaten, 7 Jan. 2022. https://doi.org/10.1109/ICCE53296.2022.9730350
Hwang, T., & Effenberg, A. (2022). Gait Analysis: Head Vertical Movement Leads to Lower Limb Joint Angle Movements. In 2022 IEEE International Conference on Consumer Electronics, ICCE 2022 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; Band 2022-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE53296.2022.9730350
Hwang T, Effenberg A. Gait Analysis: Head Vertical Movement Leads to Lower Limb Joint Angle Movements. in 2022 IEEE International Conference on Consumer Electronics, ICCE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). doi: 10.1109/ICCE53296.2022.9730350
Hwang, Tonghun ; Effenberg, Alfred. / Gait Analysis : Head Vertical Movement Leads to Lower Limb Joint Angle Movements. 2022 IEEE International Conference on Consumer Electronics, ICCE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics).
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abstract = "Supported by the increasing number of head-worn devices, such as earbuds and smart glasses, research on gait analysis using head-worn sensors has been emerged. These head-worn sensor solutions can be used to analyze natural gait patterns in daily life at lower costs. However, these approaches are limited to spatial-temporal gait parameters, and it is so far impossible to measure joint angle movements of the lower body because angles are normally measured by at least two sensors. To overcome the limitation, it is necessary to scrutinize the relationship between the head and lower body joints. In this paper, therefore, the causality between head vertical movement and lower limb joint movements was estimated using a transfer entropy analysis during walking. In total, 12 participants' gait patterns were analyzed. Strikingly, the transfer entropy direction from the head movements to the joint angle movements was more dominant than vice versa, which was the most obvious between the head and hip. This finding can lay the groundwork for simple secondary measurement of lower limb joint problems with the simple use of head-worn sensors.",
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note = "Funding Information: ACKNOWLEDGMENT This work was supported in part by European Commission HORIZON2020-FETPROACT-2014 No. 641321.; 2022 IEEE International Conference on Consumer Electronics, ICCE 2022 ; Conference date: 07-01-2022 Through 09-01-2022",
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AB - Supported by the increasing number of head-worn devices, such as earbuds and smart glasses, research on gait analysis using head-worn sensors has been emerged. These head-worn sensor solutions can be used to analyze natural gait patterns in daily life at lower costs. However, these approaches are limited to spatial-temporal gait parameters, and it is so far impossible to measure joint angle movements of the lower body because angles are normally measured by at least two sensors. To overcome the limitation, it is necessary to scrutinize the relationship between the head and lower body joints. In this paper, therefore, the causality between head vertical movement and lower limb joint movements was estimated using a transfer entropy analysis during walking. In total, 12 participants' gait patterns were analyzed. Strikingly, the transfer entropy direction from the head movements to the joint angle movements was more dominant than vice versa, which was the most obvious between the head and hip. This finding can lay the groundwork for simple secondary measurement of lower limb joint problems with the simple use of head-worn sensors.

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