Abstract
Fitness is the state of human contentment and physical excellence of human body. In this tedious life, people tend to neglect their fitness and unconcern their health and well being. They have no time to dedicate to their fitness and at times, also cannot afford to join a gym. People who try to exercise at home without the monitoring of a professional trainers are prone to serious injuries over the long run due to anomalies in their posture. To cater this problem, we put forth an idea of a system that monitors the posture of the person who is engaging in a particular exercise. This system will allow the user to keep track of their posture in real-time. The system compares the expected posture for a particular exercise with the user’s posture. A deviation of \(10^{\circ }\) from the expected angle is considered for the user performing the exercise. The system will also keep track of the number of repetitions of a particular exercise performed by the user. The average confidence score of the user’s posture performing bicep curl and lateral raise is accounted. This structure facilitates individuals and bilateral exercise structure. This system is an innovative contribution to the Human Computer Interaction (HCI) domain.
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Virkud, S., Mehta, A., Dabre, N., Sisodia, J. (2020). A Cost-Efficient and Time Saving Exercise Posture Monitoring System. In: Vasudevan, H., Michalas, A., Shekokar, N., Narvekar, M. (eds) Advanced Computing Technologies and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-3242-9_23
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DOI: https://doi.org/10.1007/978-981-15-3242-9_23
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