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Real-Time Human Sitting Position Recognition using Wireless Sensors

Authors:

Jheanel E. Estrada,

Larry A. VeaAuthors Info & Claims

IVSP '20: Proceedings of the 2020 2nd International Conference on Image, Video and Signal Processing

Pages 133 - 137

https://doi.org/10.1145/3388818.3393714

Published: 18 May 2020 Publication History

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Abstract

Human Factors denotes the application of psychological and physiological standards and theories that lead to the design of products, processes and systems. With that Human- Computer Interaction gain attention in the field of Healthcare, Education and Occupational Areas. This paper aims to develop a model that will recognize proper and improper sitting posture in front of a laptop using Digital Signal Processing and User- Modeling. This study used flex sensors placed in the upper areas of the body. In a go signal of the Licensed Physical Therapist, these flex sensors will capture the resistance of each point and sent to the server. Using Machine Learning Techniques, the study was able to develop ergonomic rules using some key features such as the distance of the table and chair, adjustable table height suited for each body frame and upper body points such as left trapezius muscle, left and right deltoids and stylomastid process. This gives way to the development of a more advanced computational systems that will prevent musculoskeletal disorders.

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Andrei ABilius LVatavu R(2024)Take a Seat, Make a Gesture: Charting User Preferences for On-Chair and From-Chair Gesture InputProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642028(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642028
Donisi LJacob DGuerrini LPrisco GEsposito FCesarelli MAmato FGargiulo P(2023)sEMG Spectral Analysis and Machine Learning Algorithms Are Able to Discriminate Biomechanical Risk Classes Associated with Manual Material LiftingsBioengineering10.3390/bioengineering1009110310:9(1103)Online publication date: 20-Sep-2023
https://doi.org/10.3390/bioengineering10091103
Nazaruddin MAfirdaus Zainal Abidin NAminuddin RSamah KIbrahim AYusoh SMangshor NNasir S(2023)Utilising the YOLOv3 Algorithm for the Student Posture Recognition System in Classroom Settings2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE)10.1109/ICRAIE59459.2023.10468178(1-6)Online publication date: 2-Dec-2023
https://doi.org/10.1109/ICRAIE59459.2023.10468178
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Index Terms

Real-Time Human Sitting Position Recognition using Wireless Sensors
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Model verification and validation

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IVSP '20: Proceedings of the 2020 2nd International Conference on Image, Video and Signal Processing

March 2020

168 pages

ISBN:9781450376952

DOI:10.1145/3388818

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Nanyang Technological University
The Hong Kong Polytechnic: The Hong Kong Polytechnic University

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Published: 18 May 2020

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IVSP '20: 2020 2nd International Conference on Image, Video and Signal Processing

March 20 - 22, 2020

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Andrei ABilius LVatavu R(2024)Take a Seat, Make a Gesture: Charting User Preferences for On-Chair and From-Chair Gesture InputProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642028(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642028
Donisi LJacob DGuerrini LPrisco GEsposito FCesarelli MAmato FGargiulo P(2023)sEMG Spectral Analysis and Machine Learning Algorithms Are Able to Discriminate Biomechanical Risk Classes Associated with Manual Material LiftingsBioengineering10.3390/bioengineering1009110310:9(1103)Online publication date: 20-Sep-2023
https://doi.org/10.3390/bioengineering10091103
Nazaruddin MAfirdaus Zainal Abidin NAminuddin RSamah KIbrahim AYusoh SMangshor NNasir S(2023)Utilising the YOLOv3 Algorithm for the Student Posture Recognition System in Classroom Settings2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE)10.1109/ICRAIE59459.2023.10468178(1-6)Online publication date: 2-Dec-2023
https://doi.org/10.1109/ICRAIE59459.2023.10468178
Camboim Bda Rosa Tavares JTavares MBarbosa J(2023)Posture monitoring in healthcare: a systematic mapping study and taxonomyMedical & Biological Engineering & Computing10.1007/s11517-023-02851-w61:8(1887-1899)Online publication date: 22-Jun-2023
https://doi.org/10.1007/s11517-023-02851-w
Donisi LCesarelli GPisani NPonsiglione ARicciardi CCapodaglio E(2022)Wearable Sensors and Artificial Intelligence for Physical Ergonomics: A Systematic Review of LiteratureDiagnostics10.3390/diagnostics1212304812:12(3048)Online publication date: 5-Dec-2022
https://doi.org/10.3390/diagnostics12123048

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Real Time Floor Sitting Posture Monitoring using K-Means Clustering

Healthy human sitting posture estimation in RGB-D scenes using object context

Measurement of Human Sitting Posture Dimensions Using Human Pressure Distribution

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