Wearable-Gait-Analysis-Based Activity Recognition: A Review

Gait analysis has been recognized as an efficient method to help realize human activity recognition; however, there is currently no existing review study focused on wearable activity recognition methods that employ gait analysis in the recognition process. In this study, different wearable-gait-anal...

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Bibliographic Details
Published in:International journal on smart sensing and intelligent systems 2022-01, Vol.15 (1)
Main Authors: Ansah, Stella, Chen, Diliang
Format: Article
Language:English
Subjects:
data segmentation
Feature extraction
gait analysis
Gait recognition
Human activity recognition
knowledge-driven feature extraction
wearable sensors
Wearable technology
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Summary:Gait analysis has been recognized as an efficient method to help realize human activity recognition; however, there is currently no existing review study focused on wearable activity recognition methods that employ gait analysis in the recognition process. In this study, different wearable-gait-analysis-based (WGA-based) activity recognition methods were summarized and compared from the aspects of wearable sensor types, data segmentation, feature extraction, and classification methods. The limitations of the current research and potential opportunities for future research in this field are also discussed.
ISSN:1178-5608
1178-5608
DOI:10.2478/ijssis-2022-0021