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Sensor-Based and AI-Driven Ergonomic Seated Posture Detection for Workplace Risk Prevention.

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Τίτλος: Sensor-Based and AI-Driven Ergonomic Seated Posture Detection for Workplace Risk Prevention.
Συγγραφείς: Teixeira T; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal., Barbosa G; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal., Areias B; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal., Guerra A; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal., Covas M; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal., Faria S; CeNTI-Centre for Nanotechnology and Advanced Materials, 4760-034 Vila Nova de Famalicão, Portugal., Machado R; CeNTI-Centre for Nanotechnology and Advanced Materials, 4760-034 Vila Nova de Famalicão, Portugal., Amorim J; CeNTI-Centre for Nanotechnology and Advanced Materials, 4760-034 Vila Nova de Famalicão, Portugal., Ferreira L; Sensing Future Technologies, 3045-508 Coimbra, Portugal., Costa B; Sensing Future Technologies, 3045-508 Coimbra, Portugal., Martins J; Everythink, Lda, 4200-135 Porto, Portugal., Dias E; Everythink, Lda, 4200-135 Porto, Portugal., Fonseca S; PLUX-Wireless Biosignals, S.A., 1050-059 Lisboa, Portugal., Costa R; PLUX-Wireless Biosignals, S.A., 1050-059 Lisboa, Portugal., Ramião N; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal.
Πηγή: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Aug 13; Vol. 26 (16). Date of Electronic Publication: 2026 Aug 13.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Imprint Name(s): Original Publication: Basel, Switzerland : MDPI, c2000-
Ιατρικοί όροι (MeSH): Ergonomics*/methods , Posture*/physiology , Sitting Position* , Artificial Intelligence*, Musculoskeletal Diseases/prevention & control ; Humans ; Workplace ; Working Conditions ; Machine Learning
Περίληψη: Background: Work-related musculoskeletal disorders (WMSDs) remain one of the most prevalent occupational health problems worldwide. To prevent the development of these WMSDs in an office space, a chair designed for office monitoring capable of accurately identifying ten representative seated postures and measuring environmental factors was developed and validated.
Methods: To evaluate office working conditions, the chair has three embedded Printed Circuit Boards (PCBs): one directed towards seat pressure management, one directed towards environmental measurements and one PCB to manage the entire system. Machine learning approaches were then applied to establish a model that effectively predicts the seated position. The environmental data were also analyzed.
Results: The seated position classification presented an accuracy of 80.99% in controlled conditions, while in a real-world context the accuracy was 65.98%. The environmental management showed low errors, except for the PM2.5 and PM10, with relative errors above 30%.
Conclusions: This work presents an initial promising first step for an ergonomic office management solution.
References: J Occup Environ Med. 2026 Mar 1;68(3):241-247. (PMID: 41058015)
Sensors (Basel). 2024 Dec 11;24(24):. (PMID: 39771659)
IEEE J Biomed Health Inform. 2021 May;25(5):1805-1813. (PMID: 33044937)
Appl Ergon. 2017 Nov;65:355-361. (PMID: 28802456)
Sensors (Basel). 2018 Jan 12;18(1):. (PMID: 29329261)
Lancet Public Health. 2025 Apr;10(4):e295-e308. (PMID: 40175011)
Clin Biomech (Bristol). 2011 Mar;26(3):250-6. (PMID: 20970229)
Rev Bras Med Trab. 2020 Apr 15;17(3):415-430. (PMID: 32368676)
Work. 2009;34(4):421-30. (PMID: 20075519)
J Bone Joint Surg Br. 1985 Aug;67(4):625-9. (PMID: 4030863)
Healthcare (Basel). 2021 Dec 06;9(12):. (PMID: 34946411)
Sensors (Basel). 2023 Jan 08;23(2):. (PMID: 36679516)
J Lifestyle Med. 2017 Jul;7(2):69-75. (PMID: 29026727)
Hum Factors. 2019 Nov;61(7):1141-1161. (PMID: 30730777)
Appl Ergon. 2024 Jan;114:104132. (PMID: 37672916)
Sensors (Basel). 2025 Sep 09;25(18):. (PMID: 41012849)
Sensors (Basel). 2021 Jan 09;21(2):. (PMID: 33435362)
Behav Sci (Basel). 2023 Feb 08;13(2):. (PMID: 36829373)
Work. 2024;78(4):969-981. (PMID: 38217559)
Sensors (Basel). 2018 Jul 13;18(7):. (PMID: 30011833)
Grant Information: C630926586-629 00465198 HfPT, PRR, European NextGeneration; UID/50022/2025 Laboratório Associado de Energia, Transportes e Aeronáutica
Contributed Indexing: Keywords: human posture recognition; musculoskeletal disorders; office work environment; postural risk; smart office systems
Entry Date(s): Date Created: 20260827 Date Completed: 20260827 Latest Revision: 20260829
Update Code: 20260829
PubMed Central ID: PMC13517499
DOI: 10.3390/s26165120
PMID: 42655430
Βάση Δεδομένων: MEDLINE
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  Data: Sensor-Based and AI-Driven Ergonomic Seated Posture Detection for Workplace Risk Prevention.
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  Data: <searchLink fieldCode="AU" term="%22Teixeira+T%22">Teixeira T</searchLink>; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal.<br /><searchLink fieldCode="AU" term="%22Barbosa+G%22">Barbosa G</searchLink>; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal.<br /><searchLink fieldCode="AU" term="%22Areias+B%22">Areias B</searchLink>; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal.<br /><searchLink fieldCode="AU" term="%22Guerra+A%22">Guerra A</searchLink>; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal.<br /><searchLink fieldCode="AU" term="%22Covas+M%22">Covas M</searchLink>; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal.<br /><searchLink fieldCode="AU" term="%22Faria+S%22">Faria S</searchLink>; CeNTI-Centre for Nanotechnology and Advanced Materials, 4760-034 Vila Nova de Famalicão, Portugal.<br /><searchLink fieldCode="AU" term="%22Machado+R%22">Machado R</searchLink>; CeNTI-Centre for Nanotechnology and Advanced Materials, 4760-034 Vila Nova de Famalicão, Portugal.<br /><searchLink fieldCode="AU" term="%22Amorim+J%22">Amorim J</searchLink>; CeNTI-Centre for Nanotechnology and Advanced Materials, 4760-034 Vila Nova de Famalicão, Portugal.<br /><searchLink fieldCode="AU" term="%22Ferreira+L%22">Ferreira L</searchLink>; Sensing Future Technologies, 3045-508 Coimbra, Portugal.<br /><searchLink fieldCode="AU" term="%22Costa+B%22">Costa B</searchLink>; Sensing Future Technologies, 3045-508 Coimbra, Portugal.<br /><searchLink fieldCode="AU" term="%22Martins+J%22">Martins J</searchLink>; Everythink, Lda, 4200-135 Porto, Portugal.<br /><searchLink fieldCode="AU" term="%22Dias+E%22">Dias E</searchLink>; Everythink, Lda, 4200-135 Porto, Portugal.<br /><searchLink fieldCode="AU" term="%22Fonseca+S%22">Fonseca S</searchLink>; PLUX-Wireless Biosignals, S.A., 1050-059 Lisboa, Portugal.<br /><searchLink fieldCode="AU" term="%22Costa+R%22">Costa R</searchLink>; PLUX-Wireless Biosignals, S.A., 1050-059 Lisboa, Portugal.<br /><searchLink fieldCode="AU" term="%22Ramião+N%22">Ramião N</searchLink>; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal.
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  Data: <searchLink fieldCode="JN" term="%22101204366%22">Sensors (Basel, Switzerland)</searchLink> [Sensors (Basel)] 2026 Aug 13; Vol. 26 (16). <i>Date of Electronic Publication: </i>2026 Aug 13.
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  Data: <searchLink fieldCode="MM" term="%22Ergonomics%22">Ergonomics*</searchLink>/<searchLink fieldCode="MM" term="%22Ergonomics+methods%22">methods</searchLink> <br /><searchLink fieldCode="MM" term="%22Posture%22">Posture*</searchLink>/<searchLink fieldCode="MM" term="%22Posture+physiology%22">physiology</searchLink> <br /><searchLink fieldCode="MM" term="%22Sitting+Position%22">Sitting Position*</searchLink> <br /><searchLink fieldCode="MM" term="%22Artificial+Intelligence%22">Artificial Intelligence*</searchLink><br /><searchLink fieldCode="MH" term="%22Musculoskeletal+Diseases%22">Musculoskeletal Diseases</searchLink>/<searchLink fieldCode="MH" term="%22Musculoskeletal+Diseases+prevention+%26+control%22">prevention & control</searchLink> ; <searchLink fieldCode="MH" term="%22Humans%22">Humans</searchLink> ; <searchLink fieldCode="MH" term="%22Workplace%22">Workplace</searchLink> ; <searchLink fieldCode="MH" term="%22Working+Conditions%22">Working Conditions</searchLink> ; <searchLink fieldCode="MH" term="%22Machine+Learning%22">Machine Learning</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Background: Work-related musculoskeletal disorders (WMSDs) remain one of the most prevalent occupational health problems worldwide. To prevent the development of these WMSDs in an office space, a chair designed for office monitoring capable of accurately identifying ten representative seated postures and measuring environmental factors was developed and validated.<br />Methods: To evaluate office working conditions, the chair has three embedded Printed Circuit Boards (PCBs): one directed towards seat pressure management, one directed towards environmental measurements and one PCB to manage the entire system. Machine learning approaches were then applied to establish a model that effectively predicts the seated position. The environmental data were also analyzed.<br />Results: The seated position classification presented an accuracy of 80.99% in controlled conditions, while in a real-world context the accuracy was 65.98%. The environmental management showed low errors, except for the PM<subscript>2.5</subscript> and PM<subscript>10</subscript>, with relative errors above 30%.<br />Conclusions: This work presents an initial promising first step for an ergonomic office management solution.
– Name: Ref
  Label: References
  Group: RefInfo
  Data: J Occup Environ Med. 2026 Mar 1;68(3):241-247. (PMID: <searchLink fieldCode="PM" term="%2241058015%22">41058015)</searchLink><br />Sensors (Basel). 2024 Dec 11;24(24):. (PMID: <searchLink fieldCode="PM" term="%2239771659%22">39771659)</searchLink><br />IEEE J Biomed Health Inform. 2021 May;25(5):1805-1813. (PMID: <searchLink fieldCode="PM" term="%2233044937%22">33044937)</searchLink><br />Appl Ergon. 2017 Nov;65:355-361. (PMID: <searchLink fieldCode="PM" term="%2228802456%22">28802456)</searchLink><br />Sensors (Basel). 2018 Jan 12;18(1):. (PMID: <searchLink fieldCode="PM" term="%2229329261%22">29329261)</searchLink><br />Lancet Public Health. 2025 Apr;10(4):e295-e308. (PMID: <searchLink fieldCode="PM" term="%2240175011%22">40175011)</searchLink><br />Clin Biomech (Bristol). 2011 Mar;26(3):250-6. (PMID: <searchLink fieldCode="PM" term="%2220970229%22">20970229)</searchLink><br />Rev Bras Med Trab. 2020 Apr 15;17(3):415-430. (PMID: <searchLink fieldCode="PM" term="%2232368676%22">32368676)</searchLink><br />Work. 2009;34(4):421-30. (PMID: <searchLink fieldCode="PM" term="%2220075519%22">20075519)</searchLink><br />J Bone Joint Surg Br. 1985 Aug;67(4):625-9. (PMID: <searchLink fieldCode="PM" term="%224030863%22">4030863)</searchLink><br />Healthcare (Basel). 2021 Dec 06;9(12):. (PMID: <searchLink fieldCode="PM" term="%2234946411%22">34946411)</searchLink><br />Sensors (Basel). 2023 Jan 08;23(2):. (PMID: <searchLink fieldCode="PM" term="%2236679516%22">36679516)</searchLink><br />J Lifestyle Med. 2017 Jul;7(2):69-75. (PMID: <searchLink fieldCode="PM" term="%2229026727%22">29026727)</searchLink><br />Hum Factors. 2019 Nov;61(7):1141-1161. (PMID: <searchLink fieldCode="PM" term="%2230730777%22">30730777)</searchLink><br />Appl Ergon. 2024 Jan;114:104132. (PMID: <searchLink fieldCode="PM" term="%2237672916%22">37672916)</searchLink><br />Sensors (Basel). 2025 Sep 09;25(18):. (PMID: <searchLink fieldCode="PM" term="%2241012849%22">41012849)</searchLink><br />Sensors (Basel). 2021 Jan 09;21(2):. (PMID: <searchLink fieldCode="PM" term="%2233435362%22">33435362)</searchLink><br />Behav Sci (Basel). 2023 Feb 08;13(2):. (PMID: <searchLink fieldCode="PM" term="%2236829373%22">36829373)</searchLink><br />Work. 2024;78(4):969-981. (PMID: <searchLink fieldCode="PM" term="%2238217559%22">38217559)</searchLink><br />Sensors (Basel). 2018 Jul 13;18(7):. (PMID: <searchLink fieldCode="PM" term="%2230011833%22">30011833)</searchLink>
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