ArticleSensors (Basel, Switzerland)2021
Asymmetric Gait Analysis Using a DTW Algorithm with Combined Gyroscope and Pressure Sensor.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 24 citations in OpenAlex.
- FPGA-Based Weighted DTW Framework with Hybrid Gait Symmetry Index for Real-Time Wearable Gait Classification.Sensors (Basel, Switzerland) · 2026Article
- Establishing reference criteria for diagnosing normal gait patterns similarity using dynamic time warping.Journal of exercise rehabilitation · 2025Article
- Deep-Learning-Based Analysis of Electronic Skin Sensing Data.Sensors (Basel, Switzerland) · 2025Review
- A method for selecting the optimal warping path of dynamic time warping in gait analysis.Journal of exercise rehabilitation · 2024Article
- Clinical Gait Analysis: Characterizing Normal Gait and Pathological Deviations Due to Neurological Diseases.Sensors (Basel, Switzerland) · 2023Article
- Normalization and possibility of classification analysis using the optimal warping paths of dynamic time warping in gait analysis.Journal of exercise rehabilitation · 2023Article
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
Walking is one of the most basic human activities. Various diseases may be caused by abnormal walking, and abnormal walking is mostly caused by disease. There are various characteristics of abnormal walking, but in general, it can be judged as asymmetric walking. Generally, spatiotemporal parameters can be used to determine asymmetric walking. The spatiotemporal parameter has the disadvantage that it does not consider the influence of the diversity of patterns and the walking speed. Therefore, in this paper, we propose a method to analyze asymmetric walking using Dynamic Time Warping (DTW) distance, a time series analysis method. The DTW distance was obtained by combining gyroscope data and pressure data. The experiment was carried out by performing symmetrical walking and asymmetrical walking, and asymmetric walking was performed as a simulation of hemiplegic walking by fixing one ankle using an auxiliary device. The proposed method was compared with the existing asymmetric gait analysis method. As a result of the experiment, a
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