Stanford researchers at the Camarillo Lab have developed a neural-network based model that can provide real-time calculation of brain strain based on instrumented mouthguard kinematics signals.
Stanford researchers have created an integrated cooling textile (called i-Cool) with an unique functional design for personal perspiration management (PPM).
Stanford researchers at the Camarillo Lab have designed a real-time screening device system for predicting risk of concussion resulting from head impacts.
Stanford researchers have developed a new machine learning method for extracting gait parameters, such as cadence, step length, peak knee flexion, and Gait Deviation Index (GDI), from a single video.
Stanford Researchers have patented an improved technique for capturing and processing dynamic and high speed scenes using a collection of precisely timed video cameras. This system uses multiple synchronized image sensors with precise time delays to capture high-speed video.
Stanford researchers have invented a system for identifying head impacts and rejecting spurious motion events. The system has been implemented in an instrumented mouthguard which measures head kinematics on the sports field.