Closing the Wearable Gap: Foot-ankle kinematic modeling via deep learning models based on a smart sock wearable.

biomechanics embedded electronics performance characterization sensors soft wearable robotics

Journal

Wearable technologies
ISSN: 2631-7176
Titre abrégé: Wearable Technol
Pays: England
ID NLM: 9918230402406676

Informations de publication

Date de publication:
2023
Historique:
received: 03 06 2022
revised: 09 12 2022
accepted: 04 01 2023
medline: 15 3 2024
pubmed: 15 3 2024
entrez: 15 3 2024
Statut: epublish

Résumé

The development of wearable technology, which enables motion tracking analysis for human movement outside the laboratory, can improve awareness of personal health and performance. This study used a wearable smart sock prototype to track foot-ankle kinematics during gait movement. Multivariable linear regression and two deep learning models, including long short-term memory (LSTM) and convolutional neural networks, were trained to estimate the joint angles in sagittal and frontal planes measured by an optical motion capture system. Participant-specific models were established for ten healthy subjects walking on a treadmill. The prototype was tested at various walking speeds to assess its ability to track movements for multiple speeds and generalize models for estimating joint angles in sagittal and frontal planes. LSTM outperformed other models with lower mean absolute error (MAE), lower root mean squared error, and higher

Identifiants

DOI: 10.1017/wtc.2023.3 PMID: 38487777 PMC: PMC10936318
pubmed: 38487777
doi: 10.1017/wtc.2023.3
pii: S2631717623000038
pmc: PMC10936318
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e4

Informations de copyright

© The Author(s) 2023.

Déclaration de conflit d'intérêts

The authors declare no competing interests exist.

Auteurs

Samaneh Davarzani (S)

Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA.
Human Factors and Athlete Engineering, Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS, USA.

David Saucier (D)

Human Factors and Athlete Engineering, Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS, USA.
ORCID: 0000-0002-0555-5246

Purva Talegaonkar (P)

Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA.
Human Factors and Athlete Engineering, Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS, USA.

Erin Parker (E)

Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA.
Human Factors and Athlete Engineering, Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS, USA.
Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA.

Alana Turner (A)

Human Factors and Athlete Engineering, Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS, USA.
Department of Kinesiology, Mississippi State University, Mississippi State, MS, USA.

Carver Middleton (C)

Human Factors and Athlete Engineering, Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS, USA.
Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA.

Will Carroll (W)

Human Factors and Athlete Engineering, Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS, USA.
Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA.

John E Ball (JE)

Human Factors and Athlete Engineering, Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS, USA.
Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA.

Ali Gurbuz (A)

Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA.

Harish Chander (H)

Human Factors and Athlete Engineering, Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS, USA.
Department of Kinesiology, Mississippi State University, Mississippi State, MS, USA.

Reuben F Burch (RF)

Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA.
Human Factors and Athlete Engineering, Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS, USA.

Brian K Smith (BK)

Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA.
Human Factors and Athlete Engineering, Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS, USA.

Adam Knight (A)

Human Factors and Athlete Engineering, Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS, USA.
Department of Kinesiology, Mississippi State University, Mississippi State, MS, USA.

Charles Freeman (C)

Human Factors and Athlete Engineering, Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS, USA.
School of Human Sciences, Mississippi State University, Mississippi State, MS, USA.

Classifications MeSH