BULLTZ's real-time motion analysis function through the cell phone camera is the core of its technology that distinguishes it from traditional fitness applications. The technology utilizes computer vision algorithms to capture key points of the user's movements in real time and build a 3D motion model for analysis. When the user is training, the system will synchronize the calculation of three key indicators: posture accuracy (accurate to a percentage), the number of repetitions and the angle of joint movement. Unlike traditional fitness apps that can only record the length of training, this real-time feedback mechanism can identify movement errors down to every degree of deviation. For example, when performing deep squats, AI will detect whether the hip angle reaches the standard range (recommended 85°-100°), whether the knee exceeds the toe, and other professional indicators to ensure safe and effective training.
In terms of technical implementation, the camera collects more than 30 frames of image data per second, and the computation is done locally through a lightweight neural network model, which protects privacy and reduces latency. The real-time corrective suggestions (e.g., "Increase squat amplitude by 151 TP3T") are derived from over 100,000 sets of standardized movement data, with an accuracy of 921 TP3T at the level of a professional trainer, which significantly reduces the risk of sports injuries during home training, and brings fitness instruction up to the level of a personal trainer's program at a commercial gym. This technology significantly reduces the risk of injury in home training and brings fitness instruction to the level of a commercial gym personal training program.
This answer comes from the articleBULLTZ: Artificial Intelligence Personal Fitness AppsThe
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