Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2022 IEEE International Conference on Consumer Electronics, ICCE 2022 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (elektronisch) | 9781665441544 |
| ISBN (Print) | 9781665441551 |
| Publikationsstatus | Veröffentlicht - 2022 |
| Veranstaltung | 2022 IEEE International Conference on Consumer Electronics, ICCE 2022 - Virtual, Online, USA / Vereinigte Staaten Dauer: 7 Jan. 2022 → 9 Jan. 2022 |
Publikationsreihe
| Name | Digest of Technical Papers - IEEE International Conference on Consumer Electronics |
|---|---|
| Band | 2022-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.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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- BibTex
- RIS
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/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Gait Analysis
T2 - 2022 IEEE International Conference on Consumer Electronics, ICCE 2022
AU - Hwang, Tonghun
AU - Effenberg, Alfred
N1 - Funding Information: ACKNOWLEDGMENT This work was supported in part by European Commission HORIZON2020-FETPROACT-2014 No. 641321.
PY - 2022
Y1 - 2022
N2 - 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.
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.
KW - gait analysis
KW - head-worn sensors
KW - health monitoring system
KW - inertial measurement unit
KW - wearable sensors
UR - http://www.scopus.com/inward/record.url?scp=85127063868&partnerID=8YFLogxK
U2 - 10.1109/ICCE53296.2022.9730350
DO - 10.1109/ICCE53296.2022.9730350
M3 - Conference contribution
AN - SCOPUS:85127063868
SN - 9781665441551
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
BT - 2022 IEEE International Conference on Consumer Electronics, ICCE 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 January 2022 through 9 January 2022
ER -