Project Grant 15PBJA21GG02796SMTP

This $149,996 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program aims to develop an integrated IOT-enabled AI platform to enhance emergency response and de-escalation support for autistic individuals. The project at Southern Methodist University will conduct research to identify gaps in current de-escalation approaches, evaluate AI and IOT technologies to support personalized response strategies, and pilot test the...

Foresightcares Inc. received a $275,992 Project Grant award from the National Science Foundation under the NSF Technology, Innovation, and Partnerships program to develop a multimodal artificial intelligence system for remote health monitoring of seniors. The award period is from March 15, 2022 through February 28, 2023. Through computer vision, sensor fusion, and artificial intelligence algorithms, Foresightcares will create a training framework to analyze seniors' daily activities,...

This EAGER (Early-concept Grants for Exploratory Research) project, awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), aims to create a personalized training framework that adapts to each worker's cognitive functions and sensorimotor skills in collaborative robotic manufacturing environments. The $299,953 grant, awarded on September 1, 2024, with a completion date of August 31, 2026, focuses on advancing personalized training strategies for complex...

This National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) Project Grant award of $275,000 to Pirvision Lens LLC supports research and development activities for their proprietary "ActiveLens" technology. The goal is to enhance passive infrared (PIR) motion sensors by enabling improved stationary occupancy detection, human signal differentiation, occupancy counting, and activity identification capabilities. The project will develop...

This $320,000 Early-concept Grant for Exploratory Research (EAGER) award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports the development of a novel extended reality (XR) system to assess attention deficit and other cognitive functions. The project aims to create standardized yet adaptable virtual scenarios that leverage principles of embodied cognition to provide more accurate and comprehensive cognitive profiles to support traditional assessments. The...

This three-year, $279,334 National Science Foundation project grant funds research at the New Jersey Institute of Technology to develop integrated sensing and normally-off computing architectures for Internet of Things devices. The research focuses on designing processing-in-sensor units and processing-near-sensor units that co-integrate sensing and processing capabilities. These hybrid platforms will feature granularly configurable arithmetic operations to balance accuracy, speed and power...

This Project Grant award, provided under the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070), seeks to co-design an AI-based solution for collecting and analyzing behavior data to support coordinated care for children with autism spectrum disorder (CWA). The University of Texas at San Antonio (UTSA), the prime awardee, will partner with community stakeholders in a pilot study in San Antonio, TX to develop an AI-augmented platform for CWA...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $115,356 to the Texas A&M Engineering Experiment Station (Tees) to develop innovative techniques and tools for augmenting passive physical interfaces, such as light switches and power sockets, with smart capabilities. The key objectives are to: 1) create a theoretical framework and dataset for characterizing physical interface properties...

This EAGER (Early-concept Grants for Exploratory Research) Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to advance dexterous teleoperation and human-robot collaboration technologies. The $160,000 award supports research to develop a learning-based robot control policy, a safety-aware multi-modal perception system, and integrated control and feedback mechanisms for intuitive and precise bi-directional human-robot interactions. The project...

This $300,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research by the University of Maryland, College Park to enhance pilot training through the development of methods for optimizing sensory-motor interactions. The goal is to reduce training duration and improve safety by leveraging secondary sensory cues, such as touch and audition, and insights into pilot neurophysiology. The research involves creating a pilot training...