Available Technologies
# of Displayed Technologies: 8 / 8
Applied Category Filter (Click To Remove): Digital Health
IDEAS: Revolutionizing Early Childhood Education with Automated Interaction Analysis
TS-065825 — The Need: In early childhood education settings, understanding children's interactions, both social and linguistic, is paramount for effective teaching and development monitoring. However, manual observation and analysis of these interactions can be time-consuming and subjective, hindering educa…
- College: College of Education & Human Ecology
- Inventors: Gonzalez Villasanti, Hugo "Hugo"; Justice, Laura
- Licensing Officer: Dahlman, Jason "Jay"
Network-based Approach for Accurate Brain Modeling
TS-062628 — More than a billion people worldwide suffer from some neurological disorders, such as Alzheimer's, Parkinson's, multiple sclerosis, epilepsy, stroke, autism, addiction, and many others. These conditions result in more than 7 million deaths, with associated costs exceeding $1.5 trillion annua…
- College: College of Arts & Sciences
- Inventors: Cranmer, Skyler; Bhamidi, Shankar; Denny, Mathew; Desmarais, Bruce; Lu, Zhong-Lin; Stillman, Paul; Wilson, James
- Licensing Officer: Dahlman, Jason "Jay"
Visual Function Mapping Technology: Enhancing Vision Care and Diagnostics
TS-062335 — The Need: In the field of ophthalmology and vision care, there is a critical need for accurate and comprehensive measurements of visual function over the entire visual field. Conditions such as glaucoma, age-related macular degeneration (AMD), diabetes, stroke, pituitary disease, brain tumors, and n…
- College: College of Arts & Sciences
- Inventors: Lu, Zhong-Lin; Lesmes, Luis; Xu, Pengjing "PJ"; Yu, Deyue
- Licensing Officer: Dahlman, Jason "Jay"
Rapid Identification of Eye Disorders
TS-062311 — The Need: Early detection of eye disorders, such as amblyopia and myopia, is crucial for effective treatment and improved long-term outcomes, especially in children and young adults. Traditional screening methods for amblyopia often require specialized instruments and expertise, making them costly, …
- College: College of Arts & Sciences
- Inventors: Lu, Zhong-Lin; Huang, Chang-Bing; Jia, Wuli; Lesmes, Luis; Zhou, Jiawei
- Licensing Officer: Dahlman, Jason "Jay"
Methods for Measuring Contrast Sensitivity
TS-062308 — The Need:
Visual sensitivity testing plays a crucial role in assessing human vision and detecting potential visual impairments. However, traditional methods often lack the precision required to isolate specific frequency-specific channels in the visual system. There is a commercial need for a techn…
- College: College of Arts & Sciences
- Inventors: Lu, Zhong-Lin
- Licensing Officer: Dahlman, Jason "Jay"
Machine-Learning Algorithm for Improved Speech Intelligibility in Noise
TS-042266 — A monaural machine-learning algorithm for classifying time-frequency units in an unknown signal, which results in marked speech-intelligibly improvements in noisy signals.
A primary complaint of hearing-impaired (HI) listeners is poor speech recognition in background noise. This issue can be quite debilitating and persists despite considerable efforts to improve hearing technology. Despite considerable effort, monaural (single-microphone) algorithms capable of incre…
- College: College of Arts & Sciences
- Inventors: Healy, Eric; Vasko, Jordan
- Licensing Officer: Dahlman, Jason "Jay"
Machine-Learning Algorithm for Improved Speech Intelligibility in Noise
TS-038074 — A monaural machine-learning algorithm for classifying time-frequency units in an unknown signal, which results in marked speech-intelligibly improvements in noisy signals.
Wireless carriers receive daily complaints about poor speech recognition in background noise during calls and are constantly looking for methods to improve especially in light of recent forays into VOIP. The ability to discriminate between speech and noise in an audio signal then is an extremely i…
- College: College of Arts & Sciences
- Inventors: Healy, Eric; Vasko, Jordan
- Licensing Officer: Dahlman, Jason "Jay"
Multi-carrier processing in auditory prosthetic devices
TS-014871 — Encoding strategy for improvement of speech understanding in a noisy environment for audiotory prosthetic devices.
There are about 275 million adults globally with moderate to severe hearing loss and 360 million adults with mild hearing loss. The current solutions to allow these people to hear better include hearing aids, hearing loss counseling, cochlear implants, alerting devices, and other communication aid…
- College: College of Arts & Sciences
- Inventors: Apoux, Frederic; Healy, Eric
- Licensing Officer: Dahlman, Jason "Jay"
