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A Mobile Camera System to Assist in Maintaining Better Posture through the use of Computer Vision and Artificial Intelligence

Authors

Abby Zhang1 and Andrew Park2, 1USA, 2California State Polytechnic University, USA


Abstract

In an increasingly digital world, maintaining good posture is essential for overall health and well-being. This paper introduces a novel solution, a mobile camera system leveraging computer vision and artificial intelligence (AI) technologies, to assist individuals in maintaining better posture. The system utilizes the camera on a mobile device to continuously monitor the user's posture in real-time. Computer vision algorithms analyze the user's body position and alignment, while AI algorithms provide personalized feedback and guidance based on established ergonomic principles. Through the integration of advanced technologies, the system aims to promote awareness of posture habits and encourage corrective actions to prevent musculoskeletal issues associated with poor posture. This paper discusses the design, implementation, and evaluation of the mobile camera system, highlighting its potential to revolutionize posture management practices and improve overall health outcomes in the digital age.

Keywords
Posture, Artificial Intelligence, Raspberry Pi, Flutter