Yotta Navigation proposes to develop a Wearable Performance Assessment System (WPAS) and accompanying computational models to detect and classify soldier relevant complex, highly-dynamic tasks in real-time. The WPAS consists of a scalable set of unobtrusive body-warn biomedical sensors called Kinetic Pods (KP) that provides accurate detection of soldier movements. The sensors will be small, low-cost, and capable of wirelessly transmitting raw and processed sensor data to a central end user application. The WPAS will be capable of operating in indoor and outdoor environments. The WPAS will automatically process high volumes of biomechanical data, identify and tag a set of complex motions from a larger set of free-form motion data, and monitor subjects in real-time in a cost-effective manner. The system is scalable, upgradable, and features an open architecture. The set of motions and tasks that can be identified with WPAS is diverse. It includes, but is not limited to, obstacle course negotiation, terrain navigation, and tactical movements in addition to simpler motions such as standing, sitting, walking, and crawling. Yotta Navigation personnel have extensive experience in this area. This effort is led by a US Army veteran and builds on Yotta Navigations patented motion detection and classification algorithms.
