Award Data

There are several current and imminent orthotic and prosthetic (O&P) fitting scenarios that would greatly benefit from the ability to wirelessly collect and transmit physiological information from the user. Both upper- and lower- limb O&P fittings that: 1) use osseointegration, 2) have cable management issues, and 3) could benefit from physiological information from locations proximal to the prost ...

Rodents serve as models for the human brain and behavior, and their calls give researchers a window into their mood. Unfortunately, rodent calls are ultrasonic, so a researcher must record a test and then play the audio back at a slower speed to manually categorize and count calls. Software does exist to accomplish this task, but it does not have the ease of use or accuracy that researchers want. ...

Accurate assessment of burn depth and surface area are important to clinical decision-making regarding treatment. Initial assessment determines fluid requirements and transportation decisions to distant-care facilities. The clinician must determine if the wound will heal itself or whether excision and grafting are necessary for optimal wound healing. The standard of care remains visual inspection ...

It is generally recognized that the human body transmits electro-magnetic fields (EMF). The Phase I program demonstrated a practical solution to detect these emissions. The technology was shown to be compatible for integration into wearable textiles. The Phase 2 program will focus on demonstrating the capability of discriminating between healthy and injury related EMF emissions such that it can be ...

Airway compromise is the third leading cause of potentially preventable death on the battlefield. Current evaluation techniques of the airways associated with smoke inhalation injury are highly subjective and lack the sensitivity required of an accurate diagnostic and assessment tool. The problem of detection is further compounded by the late onset of symptoms that in many cases do not present unt ...

On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

The S-351 mini-sub is a prototype of the Dry Combat Submersible (DCS). This prototype was established as a means of risk reduction prior to a full commitment to the DCS program. Both of these platforms have an operational need to transit with minimum operator fatigue safely to a pre-defined point and covertly deploy and retrieve SEALS. To meet these operational needs, these platforms require upgra ...

Traumatic brain injury is a common problem in both the military and civilian communities, but current treatment protocols are focused on managing symptoms and fail to prevent significant long-term repercussions. In the proposed program, Luna will demonstrate the feasibility of a liposome-based therapeutic delivery system capable of delivering hydrophilic and hydrophobic therapeutics to the traumat ...

Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...