I lead the development of an innovative caloric measurement device designed to deliver precise energy expenditure data for biomechanical research. This state-of-the-art device combines microcontrollers—including IMUs (Inertial Measurement Units) and a heart rate monitor—with high-resolution cameras and machine learning algorithms, aiming to achieve an accuracy range of 1-5%, comparable to the gold standard of calorimetry. Designed to work seamlessly with motion capture systems, it ensures the collection of accurate and comprehensive data for both research and clinical applications.

The device’s integrated cameras enhance its capabilities by capturing real-time movement data, which, when processed alongside sensor inputs, provides a comprehensive analysis of energy expenditure during various physical activities. Developing this device involved overcoming significant challenges, such as designing a compact and durable chassis for precise leg placement, optimizing sensor positioning for reliable readings, and addressing issues like wire fragility and movement-induced damage. These obstacles were resolved through 3D-printed wire guides, multiple design iterations, and rigorous testing.

Now in the testing phase, the device has demonstrated strong potential in accurately correlating sensor and camera data to energy expenditure across diverse physical conditions. By seamlessly combining visual tracking, sensor technology, and advanced analytics, this caloric measurement device offers promising applications in sports performance analysis, rehabilitation, and clinical biomechanics, paving the way for innovative solutions in wearable health monitoring.