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IJCRR - 13(11), June, 2021
Pages: 132-136
Sitting Posture Identifier to Overcome Health Issues
Author: Jonathan Law Hui Hao, Rajasvaran Logeswaran, Hema Latha Krishna Nair
Category: Healthcare
Abstract:
Introduction: Bad sitting posture habits cause health issues such as headaches or discomfort in the back and can lead to expensive medical expenditure for correction or cure. Objective: This study proposes a system that can identify a person sitting posture to aid them in practicing good postural habit. Methods: The system, built using a Convolutional Neural Network, provides sitting posture feedback based on photographs taken via a developed mobile application. Result: Upon analysis of the dataset, it was found that many factors can influence and adversely affect the results. Examples include a curved back chair may indicate good sitting posture, or perhaps an extremely thick coat may affect the labelled person sitting posture in the image. Conclusion: Although inaccuracies may be introduced by the shape of clothes and accessories, the tool can be used as a self-improvement aid to practice good sitting posture
Keywords: Habits, Health issues, Sitting posture, AlexNet, Tensorflow
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International Journal of Current Research and Review (IJCRR) provides platform for researchers to publish and discuss their original research and review work. IJCRR can not be held responsible for views, opinions and written statements of researchers published in this journal
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