This $212,026 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports a collaborative research project between Elizabethtown College, a primarily undergraduate institution, and a major research university. The project aims to develop novel, non-invasive electrocutaneous stimulation technology to provide a more natural sense of touch for individuals with amputated arms using bionic limbs. The research seeks to overcome limitations of...
This four-year, $1.96 million project grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities, under the Engineering program (CFDA 47.041), will develop improved brain-machine interface algorithms to restore movement and speech abilities. The University of California, San Diego will apply advances in understanding biological motor control to design decoding strategies enabling robust prosthetic control across contexts. Existing feedforward...
This $800,000 National Science Foundation project grant will fund research at Florida Atlantic University to develop technology enabling disabled individuals to control advanced prosthetic devices. Specifically, the grant will support exploration of novel bimodal skin sensors, investigation of machine learning algorithms to classify user intent, and creation of a reinforcement learning paradigm for customized muscle training exercises. The goal is to empower those with upper limb deficiencies to...
The National Science Foundation (NSF) is providing a $170,617 Project Grant under its Engineering program (CFDA 47.041) to the University of Illinois to advance the scientific study of brain functional changes after a stroke and pioneer a tailored rehabilitation strategy that fits each individual's needs. The 5-year project aims to combine different imaging methods to guide electrical brain stimulation that improves the recovery of movement for stroke patients, potentially benefiting over half a...
This Project Grant award, funded by the National Science Foundation's Engineering program (CFDA 47.041), supports research to understand the mechanisms that govern co-adaptation between humans and synthetic agents during interactive tasks. The $699,641 award, effective October 1, 2024 through September 30, 2027, will enable researchers at the University of Delaware to investigate how humans seamlessly interact with adaptive systems like brain-machine interfaces, prosthetics, and exoskeletons....
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...
The National Science Foundation (NSF) awarded a 5-year, $300,000 Project Grant under the CISE (CFDA 47.070) program to Purdue University. The grant supports the development of advanced brain-machine interface technologies for speech decoding and restoration. This research aims to enable implantable devices that can decode and restore speech for individuals who have lost their ability to speak due to conditions like ALS, stroke, or traumatic brain injury. The project will leverage recent...
This $1,149,995.00 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) supports research at New York University (NYU) School of Medicine to develop innovative methods in artificial intelligence (AI) and motion capture technology to analyze patient movement and improve stroke rehabilitation. The key objectives of the project are to: 1) develop a method to integrate multimodal data into a shared representation...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) project grant award of $526,211 to The Trustees of the University of Pennsylvania aims to develop an innovative multimodal bioelectronic interface for simultaneous electrophysiology, neurochemistry, and optical mapping of neuronal circuits in vivo and at multiple scales. The project will design, fabricate, and characterize this multimodal neural interface based on nanoscale soft conductors and custom fabrication...
This Project Grant award from the National Institute of Neurological Disorders and Stroke (NINDS), under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) federal grant program, aims to develop advanced deep learning techniques for continuous, simultaneous control of wrist and finger movements using implantable electromyography (EMG) signals. The 5-year, $577,880 award to the Regents of the University of Michigan will be used to achieve this objective...