TY - JOUR
T1 - Research Progress of Intelligent Sitting Posture Monitoring Systems
T2 - A Survey
AU - Hu, Huiming
AU - Shi, Xingzhi
AU - Song, Wenfang
AU - Yang, Yadie
AU - Zhang, Jie
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2025
Y1 - 2025
N2 - Sitting posture monitoring is a crucial aspect of health management, offering significant long-term benefits for individual well-being and public health. This paper provides a state-of-the-art survey of intelligent sitting posture monitoring systems, which leverage advanced sensors and algorithms to deliver real-time feedback and promote healthier sitting habits. The survey uniquely integrates the four critical stages in the design of such systems: data capture, dataset establishment, model construction, and system feedback. Unlike previous fragmented research on isolated aspects, this work addresses the full pipeline, bridging the gap in holistic guidance for establishing intelligent posture monitoring systems. It also summarizes commonly used commercial sensors to guide researchers and practitioners in selecting appropriate solutions for posture monitoring. This comprehensive survey of current methodologies identifies key research gaps and proposes directions for future work to advance health management through the improvement and broad application of intelligent sitting posture monitoring systems.
AB - Sitting posture monitoring is a crucial aspect of health management, offering significant long-term benefits for individual well-being and public health. This paper provides a state-of-the-art survey of intelligent sitting posture monitoring systems, which leverage advanced sensors and algorithms to deliver real-time feedback and promote healthier sitting habits. The survey uniquely integrates the four critical stages in the design of such systems: data capture, dataset establishment, model construction, and system feedback. Unlike previous fragmented research on isolated aspects, this work addresses the full pipeline, bridging the gap in holistic guidance for establishing intelligent posture monitoring systems. It also summarizes commonly used commercial sensors to guide researchers and practitioners in selecting appropriate solutions for posture monitoring. This comprehensive survey of current methodologies identifies key research gaps and proposes directions for future work to advance health management through the improvement and broad application of intelligent sitting posture monitoring systems.
KW - data analytics
KW - Intelligent system
KW - sensors
KW - sitting posture monitoring
KW - system feedback
UR - https://www.scopus.com/pages/publications/105011146879
U2 - 10.1109/TIM.2025.3588986
DO - 10.1109/TIM.2025.3588986
M3 - Journal article
AN - SCOPUS:105011146879
SN - 0018-9456
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
ER -