ArticleIEEE journal of translational engineering in health and medicine2024
A Low-Cost Instrumented Shoe System for Gait Phase Detection Based on Foot Plantar Pressure Data.
Article in IEEE journal of translational engineering in health and medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Abnormal Gait Phase Recognition and Limb Angle Prediction in Lower-Limb Exoskeletons.Biomimetics (Basel, Switzerland) · 2025Article
- In-shoe plantar pressure measurement technologies for the diabetic foot: A systematic review.Heliyon · 2024Article
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Authors and funding
8 authors.
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Abstract
This paper presents a novel low-cost and fully-portable instrumented shoe system for gait phase detection. The instrumented shoe consists of 174 independent sensing units constructed based on an off-the-shelf force-sensitive film known as the Velostat conductive copolymer. A zero potential method was implemented to address the crosstalk effect among the matrix-formed sensing arrays. A customized algorithm for gait event and phase detection was developed to estimate stance sub-phases including initial contact, flat foot, and push off. Experiments were carried out to evaluate the performance of the proposed instrumented shoe system in gait phase detection for both straight-line walking and turning walking. The results showed that the mean absolute time differences between the estimated phases by the proposed instrumented shoe system and the reference measurement ranged from 45 to 58 ms during straight-line walking and from 51 to 77 ms during turning walking, which were comparable to the state of art.Clinical and Translational Impact Statement-By allowing convenient gait monitoring in home healthcare settings, the proposed system enables extensive ADL data collection and facilitates developing effective treatment and rehabilitation strategies for patients with movement disorders.
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Registered trials
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