Jingyi Liu¹ and Jonathan Sahagun², ¹USA, ²California State University, USA

Exercise has become an increasingly popular trend, but injuries caused by overexertion remain a concern. To address this issue, we developed an AI-powered application that utilizes face detection to prevent users from overexercising. Our application integrates Vertex AI and Bluetooth Low Energy (BLE) technology to enhance connectivity and performance. During development, we encountered challenges in detecting user fatigue and establishing a reliable connection between the application and the treadmill. To validate our system, we conducted experiments to assess the accuracy of AI face detection across different users. Our findings indicate that the AI successfully detects faces regardless of age; however, it struggles to recognize individuals with darker skin tones due to limited training data. Compared to other methods, our application offers a proactive approach to injury prevention during exercise. Additionally, it includes a mechanism to forcibly stop the user if they ignore fatigue warnings, ensuring a safer workout experience.

AI, Facial Recognition, Fitness Equipment, Exercise Safety