This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) for $174,999 provides funding to the Research Foundation of the City University of New York (RFCUNY) - Brooklyn College to develop a depth estimation system using wireless sensors and cameras.
The key products and services to be delivered under this 2-year project grant include: 1) Collecting a large-scale dataset of human activity and gesture recognition data using multiple cameras and wireless sensors to serve as a benchmark for multi-sensor solutions; 2) Developing methods to align data obtained through different sensors and perspectives; 3) Creating data-driven techniques to estimate depth based on the processed and aligned sensor data; and 4) Investigating approaches to address the sparse and noisy signal measurements from the wireless sensors. This research aims to enable inexpensive, ubiquitous depth estimation solutions to advance technologies like virtual/augmented reality and telehealth, especially for underrepresented communities.
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