Project Grant 2521430
- This Project Grant award, with a total funding of $423,915, was provided by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The project aims to use new wearable sensor technologies and artificial intelligence to study the patterns of infant movement and motor skill development in the home environment over time. The key objectives are to: (1) measure the amount and types of movement that 7-month-old infants engage in at home...
- This National Science Foundation (NSF) Federal Grant Award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $299,571 to Michigan State University to develop an innovative wearable sensing system that automatically detects a range of infant behaviors for long durations in the home environment. The objective is to examine the role of pre-walking strategies in the development of walking through precise measurements of activities like standing, cruising, falls,...
- This Project Grant, funded by the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075), will address two key research questions: (1) whether infants' motor skill acquisitions are related to the specific words they learn, and (2) whether language input that aligns with infants' motor actions facilitates word learning. The $380,398 award, effective August 1, 2024 and running through July 31, 2028, will support the University of Alabama's efforts...
- This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $648,091 to the Research Foundation of the City University of New York (RFCUNY) - College of Staten Island. The project, titled "RUI: How Childrearing Practices Shape Infant Development," examines the impact of a specialized infant cradle practice on motor, cognitive, and social-emotional development in the first two years of life. Researchers...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) project grant award of $430,826 to the New York Institute of Technology aims to develop a quantitative sensing system to evaluate fine motor skills in autistic children. The project will create a low-cost wearable glove and interactive game to objectively measure hand motions and fine motor abilities like grasping and holding a pencil. This technology will provide an alternative to subjective clinical assessments, enabling more...
- This National Science Foundation (NSF) Engineering Research Initiation (ERI) project grant, under CFDA 47.041, is awarded for $200,000 to the University of the Pacific to develop a novel wearable sensing and analysis system for early detection of autism spectrum disorder (ASD) in young children and toddlers. The research aims to leverage non-invasive wearable devices to collect physiological and environmental data, and then use machine learning to identify physiological biomarkers and early...
- This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences Postdoctoral Research Fellowships (SPRF) Program award of $160,000 supports a 2-year postdoctoral research project investigating how mothers facilitate their infants' access to the environment as their motor skills develop. The research will assess mothers' beliefs about their infants' abilities, characterize mothers' support behaviors, and identify profiles of maternal support that enable infant exploration. The...
- This Project Grant award from the National Science Foundation (NSF), under the CFDA Program 47.075 Social, Behavioral, and Economic Sciences, provides $119,411 to the Dominguez Hills Foundation California State University. The award period runs from September 1, 2025 to August 31, 2030. The project examines the impact of grandparental support on prenatal stress and infant socioemotional outcomes. It uses a longitudinal, multi-method approach to (1) characterize patterns of grandparental...
- This federal Project Grant award of $425,748, provided by the National Science Foundation's Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports two related studies to advance the understanding of early language development in infants. The first study involves observing parent-infant interactions, with infants wearing eye-tracking devices to determine when speech is interpretable to them. The second study creates and...
- This Project Grant award from the National Science Foundation (CFDA 47.041 - Engineering) will enhance the effectiveness and engagement of home rehabilitation programs for individuals facing challenges with hand movement due to neurological conditions, aging, or injuries. The $599,960 award to Arizona State University will leverage artificial intelligence and motion-sensing technology to develop three key innovations: A computer vision-based recovery monitoring system that integrates motion...
This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a collaborative research project led by the University of Southern California (USC). The $106,315 award, effective from October 1, 2025 to September 30, 2028, aims to investigate caregiving practices, infant motor skill development, and the use of wearable sensing technologies. The project will leverage artificial intelligence to measure the movement patterns of 7-month-old infants in their homes over a week-long period and examine how caregiving practices influence opportunities for infant motor skill development. The results are expected to advance the understanding of motor development trajectories and inform clinical practices to promote healthy motor skill development in infancy. The project will collect and share a large longitudinal dataset of wearable sensor data, enabling further advancements in both developmental science and artificial intelligence for human movement analysis.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $106.3k | 8/7/25 |