Sitting Posture Recognition Systems: Comprehensive Literature Review and Analysis

被引:3
作者
Nadeem, Muhammad [1 ]
Elbasi, Ersin [1 ]
Zreikat, Aymen I. [1 ]
Sharsheer, Mohammad [1 ]
机构
[1] Amer Univ Middle East, Coll Engn & Technol, Egaila 54200, Kuwait
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 18期
关键词
sitting posture recognition; musculoskeletal disorders; literature review; sensor-based systems; machine learning; healthcare; ergonomics; UNITED-STATES; PRESSURE; CHAIR; TIME; INTERVENTION; IMPACT; CLASSIFICATION; SENSORS;
D O I
10.3390/app14188557
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Sitting posture recognition systems have gained significant attention due to their potential applications in various domains, including healthcare, ergonomics, and human-computer interaction. This paper presents a comprehensive literature review and analysis of existing sitting posture recognition systems. Through an extensive examination of relevant research articles and conference papers, we identify and analyze the underlying technologies, methodologies, datasets, performance metrics, and applications associated with these systems. The review encompasses both traditional methods, such as vision-based approaches and sensor-based techniques, as well as emerging technologies such as machine learning and deep learning algorithms. Additionally, we examine the challenges, constraints, and future trends in the field of sitting posture recognition systems. Researchers, practitioners, and policymakers who want to comprehend the most recent developments and latest trends in sitting posture recognition technology will find great value in this study.
引用
收藏
页数:33
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