Project Grant 2444649

Award Date 8/1/25
Completion Date 7/31/28
Dollars Obligated $489K
Federal Grant Program
47.075
Assistance Type
Project Grant
Place of Performance
Penn State University, PA 16802, USA
Similar Awards
This $1,200,000 Project Grant was awarded on August 15, 2023 by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports research at The Pennsylvania State University (Penn State) to develop computer vision algorithms that can accurately estimate biomechanical data like body pose, motion, and forces from video data alone. This will enable the observation of human...
This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $488,904 to Thomas Jefferson University (Sidney Kimmel Medical College) to conduct research on how the brain combines sensory predictions and feedback to estimate the body's state and movement. The research aims to elucidate the neurocognitive processes underlying how humans perceive and adapt their movements in dynamic environments, which has relevance...
The National Science Foundation awarded The Pennsylvania State University a $249,608 Project Grant under the STEM Education (formerly Education and Human Resources) federal grant program (CFDA 47.076) to study the functional and neural mechanisms of integrating multiple artificial somatosensory feedback signals in prosthesis control. Through May 2023 to June 2024, Penn State researchers will examine how the human brain integrates different sources of artificially evoked sensations when...
This $500,000 Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), will fund the development of an automated coaching system for teaching human motion skills. Dartmouth College, with sub-awardee Columbia University, will receive funding from August 15, 2022 to July 31, 2025. The system will use recorded expert demonstrations and sensed actions from learners to identify...
This $600,407 National Science Foundation project grant supports research into principles of intelligent sensorimotor behavior under informational constraints from September 2021 through August 2024. Funded through the Biological Sciences program (CFDA 47.074), the grant aims to advance understanding of major biological science problems and progress in the field. The University of Cincinnati leads research into how organisms integrate sensory information and respond through motor behavior when...
This federal Project Grant award from the National Institute of Neurological Disorders and Stroke (NINDS) under CFDA Program 93.853 - Extramural Research Programs in the Neurosciences and Neurological Disorders provides $650,878 to The Pennsylvania State University (Penn State) to conduct research aimed at understanding the neuroanatomy and brain mechanisms underlying motor learning. The key products and services to be delivered include: 1) Investigating whether non-invasive brain stimulation...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award to The Trustees of the University of Pennsylvania will support a $222,548 collaborative research study on the embodied cognitive shifts that occur during geometry learning. The study will investigate how people's body movements and speech can reveal insights about their mathematical reasoning processes. Researchers will collect data from students playing a video game designed to...
This $365,758 Project Grant from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering federal grant program (CFDA 47.041) will fund research at Penn State University to develop robust neural decoding approaches for human-machine interactions. The Principal Investigator will work to decode the neural command for individual finger movements by analyzing muscle electrical signals obtained non-invasively from the skin...
This federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $434,028 to the University of Nevada, Reno (UNR) to study the effects of task goals on brain representations of visual motion. The research project aims to determine how task-related factors and visual stimuli influence brain activity patterns across different regions. Using functional magnetic resonance imaging (fMRI), the researchers will have...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $1,999,675 to The Pennsylvania State University ("Penn State") to develop a neuroscience-inspired visual analytics system for persons with visual impairments. The project envisions an energy-efficient, AI-powered cognitive assistant that can understand the visual field, reason about object relationships, and deduce how they relate to the user's goals, through novel...

This Project Grant award, titled "MOTION IN ACTION: INTEGRATING MULTISENSORY INPUTS FOR POSTURE STABILIZATION AND COMPLEX ACTION ACQUISITION", is funded by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The $489,062 award to The Pennsylvania State University will support research to understand how the brain integrates visual, proprioceptive, and vestibular signals to enable goal-oriented movements and postural stability.

The project aims to elucidate the mechanisms underlying the brain's ability to process multiple sensory inputs and produce complex actions, such as intercepting a moving ball or maintaining balance while interacting with moving objects. Using virtual reality and robotic technologies, the research team will measure eye movements, muscle activation patterns, and limb dynamics to investigate how different sensory inputs contribute to motor learning. The findings will advance fundamental understanding of movement control and have applications in human-robot interaction and rehabilitation medicine. The award also includes educational outreach activities to engage middle and high school students in neuroscience, movement science, and robotics.

Generated 5/13/25, 5:43 AM