Sitting posture Analysis using CNN and RCNN
2023 International Conference on Bio Signals, Images, and Instrumentation (ICBSII)(2023)
Abstract
Based to statistics, about 80 percent of the population follows incorrect sitting posture. From the year 2020, due to the Covid-19 curfew, the traditional work office of many professionals turned into Work from home and remote office lifestyle. Many of the working professionals has no proper ergonomic workplace setup in their house leading to improper sitting position. Monitoring the sitting posture is needed to avoid chronic complication of MSD, neck, and spine related injuries. Many techniques were emerged for correcting and monitoring the posture. Neural Network based posture detection is being into the field of research as the come with more range of accuracy. This paper discusses about the various Neural Networks used and their accuracies.
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Key words
MSD-musculoskeletal disorder,ergonomic workplace,convolution neural networks (CNN) and region based convolutional neural network (RCNN).
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