Health and Wellness Monitoring of Computer Users using Machine Learning

Image processing, Voice Analysis

People whose occupation is to work all day sitting at a desk has a high possibility of having long-term serious health-related consequences due to the sedentary lifestyle they spend. This lack of movement, bad posture, exposure to monitor screens all day long, and lack of water intake will give an individual a range of medical issues all over the body, some of which can be life-threatening. This research has been carried out in order to identify the behavioral patterns that will lead to medical complications in the future and inform the user on what actions must be taken to mitigate the possibility of having such complications in the future. This is done by actively monitoring different physical activities and aspects of the user such as whether the user is sitting for too long without physical movement, whether the user has bad posture when sitting in front of the computer, and whether the user is hydrating themselves in between regular intervals. This monitoring is done by utilizing image processing. The system will also monitor whether the user is stressed for long periods of time, this is done by examining the user’s audio with voice analysis. The system demonstrates high success rates with high recognition and user-friendly interfaces along with noninvasive notification, the system is both effective and productive when implemented in the real world.

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