This two-year project grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $174,368 to develop accurate and real-time 3D hand and full-body pose estimation technologies. The University of Texas at San Antonio will generate a novel synthetic hand dataset and algorithms using an advanced data generation framework, advancing research in 3D hand pose estimation, 3D body pose estimation at room-scale distances, and enabling 3D immersive applications. The synthetic dataset, algorithms and programming libraries will be publicly available, benefiting fields including education, rehabilitation, military training and more. This technology aims to improve usability of telehealth applications, initially for applied behavior analysis assisting children with autism who cannot use existing virtual reality systems.
Generated 1/7/24, 9:43 AM