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| Title: | Research progress of intelligent sitting posture monitoring systems : a survey | Authors: | Hu, H Shi, X Song, W Yang, Y Zhang, J |
Issue Date: | 2025 | Source: | IEEE transactions on instrumentation and measurement, 2025, v. 74, 9527923 | Abstract: | Sitting posture monitoring is a crucial aspect of health management, offering significant long-term benefits for individual well-being and public health. This article 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. This article 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. | Keywords: | Data analytics Intelligent system Sensors Sitting posture monitoring System feedback |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on instrumentation and measurement | ISSN: | 0018-9456 | EISSN: | 1557-9662 | DOI: | 10.1109/TIM.2025.3588986 | Rights: | © 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication H. Hu, X. Shi, W. Song, Y. Yang and J. Zhang, 'Research Progress of Intelligent Sitting Posture Monitoring Systems: A Survey,' in IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-23, 2025, Art no. 9527923 is available at https://doi.org/10.1109/TIM.2025.3588986. |
| Appears in Collections: | Journal/Magazine Article |
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