Gait Phase Recognition Based on Wearable Inertial Sensing Technology

With the increasing recognition of wearable gadgets, studies on gait popularity based totally on inertial sensing technology has come to be a warm subject matter in both academia and enterprise. This have a look at designs and implements a wearable inertial sensor-based device for gait section reputation to as it should be become aware of distinctive levels of human gait. The research introduces wearable inertial sensors, clarifies the definition and recognition objectives of gait stages, and constructs an green gait reputation version through facts acquisition, preprocessing, feature extraction, and set of rules layout. The machine's recognition accuracy and robustness had been evaluated via experiments. Results imply that the proposed method can correctly pick out distinct gait levels with excessive accuracy and actual-time performance. The look at provides technical aid and alertness potentialities for shrewd healthcare, rehabilitation training, and movement analysis.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1145/3723936.3723946
Primary Topic
Gait Recognition and Analysis
Type
article
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article

Gait Phase Recognition Based on Wearable Inertial Sensing Technology

Chih-Chang Lin
Gait Recognition and Analysis
article

Gait Phase Recognition Based on Wearable Inertial Sensing Technology

Chih-Chang Lin
article en

Abstract

With the increasing recognition of wearable gadgets, studies on gait popularity based totally on inertial sensing technology has come to be a warm subject matter in both academia and enterprise. This have a look at designs and implements a wearable inertial sensor-based device for gait section reputation to as it should be become aware of distinctive levels of human gait. The research introduces wearable inertial sensors, clarifies the definition and recognition objectives of gait stages, and constructs an green gait reputation version through facts acquisition, preprocessing, feature extraction, and set of rules layout. The machine's recognition accuracy and robustness had been evaluated via experiments. Results imply that the proposed method can correctly pick out distinct gait levels with excessive accuracy and actual-time performance. The look at provides technical aid and alertness potentialities for shrewd healthcare, rehabilitation training, and movement analysis.

Fujian Normal University (CN)
Affordable and clean energy
Openalex Percentile: Top 74%
Gait Recognition and Analysis
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Gait Phase Recognition Based on Wearable Inertial Sensing Technology — Chih-Chang Lin · (2024) | TGRS Research Map | TGRS