Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/115840
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | School of Fashion and Textiles | - |
| dc.creator | Hu, H | - |
| dc.creator | Shi, X | - |
| dc.creator | Song, W | - |
| dc.creator | Yang, Y | - |
| dc.creator | Zhang, J | - |
| dc.date.accessioned | 2025-11-05T02:51:14Z | - |
| dc.date.available | 2025-11-05T02:51:14Z | - |
| dc.identifier.issn | 0018-9456 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/115840 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
| dc.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. | en_US |
| dc.rights | 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. | en_US |
| dc.subject | Data analytics | en_US |
| dc.subject | Intelligent system | en_US |
| dc.subject | Sensors | en_US |
| dc.subject | Sitting posture monitoring | en_US |
| dc.subject | System feedback | en_US |
| dc.title | Research progress of intelligent sitting posture monitoring systems : a survey | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 74 | - |
| dc.identifier.doi | 10.1109/TIM.2025.3588986 | - |
| dcterms.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. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | IEEE transactions on instrumentation and measurement, 2025, v. 74, 9527923 | - |
| dcterms.isPartOf | IEEE transactions on instrumentation and measurement | - |
| dcterms.issued | 2025 | - |
| dc.identifier.scopus | 2-s2.0-105011146879 | - |
| dc.identifier.eissn | 1557-9662 | - |
| dc.identifier.artn | 9527923 | - |
| dc.description.validate | 202511 bcjz | - |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.SubFormID | G000318/2025-08 | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This work was supported in part by Guangdong Province Philosophy and Social Science Planning Project under Grant GD24YYS04, in part by the Basic and Applied Basic Research Foundation of Guangdong Province under Grant 2022A1515110652, in part by the Start-Up Fund for New Recruits of The Hong Kong Polytechnic University under Grant P0049603, and in part by Macao Polytechnic University under Grant RP/FCA-03/2024. | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
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