iGuard: an intelligent sitting posture monitoring system with pressure sensors

Jingyu Yan; Aiguo Wang

doi:10.1117/12.2684485

1 August 2023 iGuard: an intelligent sitting posture monitoring system with pressure sensors

Jingyu Yan, Aiguo Wang

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 127543N (2023) https://doi.org/10.1117/12.2684485
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

Prolonged and poor sitting postures are major causes of many musculoskeletal disorders, such as herniated discs, cervical spondylosis, back fasciitis, and scoliosis, and hence proper postures are essential for maintaining good health. Towards a pervasive and low-cost healthcare system, we in this study design and implement a sitting posture monitoring system, named iGuard, with a pressure sensor array. Specifically, we use five sensors to sense the sitting posture information and naturally annotate the training sensor readings over a while. Afterward, we segment the streaming data and extract a variety of time-domain and frequency-domain features from the segments to train a sitting posture recognition model. Finally, comparative experiments are conducted to evaluate the performance of iGuard in distinguishing normal, left-leaning, right-leaning, forward-leaning, backward-leaning, left-leg crossed, and right-leg crossed sitting postures. Particularly, we consider three different evaluation schemes, i.e., subject-dependent setting, subject-independent setting, and cross-subject setting. Experimental results demonstrate the effectiveness of iGuard.

Citation Download Citation

Jingyu Yan and Aiguo Wang "iGuard: an intelligent sitting posture monitoring system with pressure sensors", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 127543N (1 August 2023); https://doi.org/10.1117/12.2684485

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