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

INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS(2022)

引用 1|浏览1
暂无评分
摘要
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.
更多
查看译文
关键词
human activity recognition,gait analysis,wearable sensors,data segmentation,knowledge-driven feature extraction
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要