[en] This paper demonstrates a portable optical sensor for human gait monitoring. The device is based on a smartphone and POF sensor specifically designed for use in shoe insoles. The monitoring of multiple sensors by a single smart device is achieved by image segmentation based on Voronoi tessellation, as this work describes in detail. Experimental tests performed with the sensor have demonstrated its ability to provide information on spatial and temporal parameters of gait as well as pressure at different plantar loci.
Disciplines :
Materials science & engineering
Author, co-author :
Chen, Jun; Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai, China
Teng, Chuanxin; Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin, China
Kuang, Renfei; Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai, China
Wang, Zhuo; Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai, China
Hu, Xuehao ; Université de Mons - UMONS > Recherche > Service ERC Unit - Advanced Photonic
Ortega, Beatriz; ITEAM Research Institute, Universitat Politècnica de València, Valencia, Spain
Marques, Carlos; I3N, Physics Department, Universidade de Aveiro, Aveiro, Portugal
Li, Xiaoli; Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai, China
Min, Rui; Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai, China
Language :
English
Title :
Gait monitoring system based on plastic optical fiber integrated with smartphone
Publication date :
2023
Event name :
European Workshop on Optical Fibre Sensors (EWOFS 2023)
Event place :
Mons, Bel
Event date :
23-05-2023 => 26-05-2023
Main work title :
European Workshop on Optical Fibre Sensors, EWOFS 2023
Editor :
Wuilpart, Marc ; Université de Mons - UMONS > Faculté Polytechnique > Service d'Electromagnétisme et Télécommunications
Publisher :
SPIE
ISBN/EAN :
978-1-5106-6500-2
Peer reviewed :
Peer reviewed
Research unit :
F108 - Electromagnétisme et Télécommunications
Research institute :
Research Institute for Materials Science and Engineering
Funders :
engionic Fiber Optics GmbH et al. Multitel Innovation Centre NorthLab Photonics AB Telebrooks Optronics Teledyne SP Devices
W. Lutz, W. Sanderson and S. Scherbov, “The coming acceleration of global population ageing,” Nature, 716–719 (2008).
I. Korhonen, J. Pärkkä and M. Van Gils, “Health Monitoring in the Home of the Future,” IEEE Eng. Med. Biol. Mag., 6673 (2003).
B. Balaban and F. Tok, “Gait Disturbances in Patients With Stroke,” PM&R, 35642 (2013).
Y.Zhang, W. Yan, Y. Yao J.B. Ahmed, Y. Tan and D. Gu, “Prediction of Freezing of Gait in Patients with Parkinson’s Disease by Identifying Impaired Gait Patterns,” IEEE. Trans. Biomed. Eng., 591600 (2020).
B. Saggin, D. Scaccabarozzi and M. Tarabini, “Metrological Performances of a Plantar Pressure Measurement System,” IEEE Trans Instrum Meas, 766776 (2013).
A. H. Abdul Razak, A. Zayegh, R. K. Begg and Y. Wahab, “Foot plantar pressure measurement system: A review,” Sensors, 98849912 (2012).
R. Min, X. Hu, L. Pereira, M. Simone Soares, L. C. B. Silva, G. Wang, L. Martins, H. Qu, P. Antunes, C. Marques and X. Li, “Polymer optical fiber for monitoring human physiological and body function: A comprehensive review on mechanisms, materials, and applications,” Opt Laser Technol, (2021).
R. Correia, S.James, S. W. Lee, S. P. Morgan and S. Korposh, “Biomedical application of optical fibre sensors,” J. Opt., (2018).
A. Aitkulov and D. Tosi, “Design of an AllPOFFiber Smartphone Multichannel Breathing Sensor With Camera Division Multiplexing,” IEEE Sens. Lett., 14 (2019).
Y. Takata, R. Kawamura, S. Matsuoka, H. Hashida, G. Asano, K. Kimura and S. Miyamoto, “Comparison of flatfeet and normal feet using data of the gait cycle, contact area, and foot pressure,” Data Brief, 106990 (2021).
