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Rusk Rehabilitation Research Assistive Technology Rehabilitation Research

Assistive Technology Rehabilitation Research

At NYU Langone’s Rusk Rehabilitation, John-Ross (J.R.) Rizzo, MD, MSCI, leads the Rehabilitation Engineering Alliance and Center Transforming Low Vision (REACTIV) laboratory, where his research focuses on assistive technology designed to help people who are visually impaired.

The REACTIV laboratory serves people who are legally blind or have low vision and civil servants who transiently have their visual system incapacitated, such as military personnel conducting night operatives, firefighters who have to navigate through smoke-filled buildings, and police officers who are left vulnerable in low-light conditions.

Our team focuses on advanced wearables for the sensory deprived (permanent or transient) and benefits from Dr. Rizzo’s own personal experiences with vision loss. The laboratory’s central hypothesis is that wearables support spatial cognition in visually impaired populations, augmenting personal freedom and agency, and promoting health and wellbeing. Our long-term goal is to develop wearables with a suite of tailorable, forward compatible microservices that enable functional independence for the visually impaired.

People who are visually impaired face mobility restrictions because of inaccessible environments. Even in structured settings, people with low vision may still have trouble navigating efficiently and safely because of hallway and threshold ambiguity. Dr. Rizzo and his team are working to take assistive technology to the next level.

Recent Publications

MICK (Mobile Integrated Cognitive Kit) app: Feasibility of an accessible tablet-based rapid picture and number naming task for concussion assessment in a division 1 college football cohort

Bell, Carter A; Rice, Lionel; Balcer, Marc J; Pearson, Randolph; Penning, Brett; Alexander, Aubrey; Roskelly, Jensyn; Nogle, Sally; Tomczyk, Chris P; Tracey, Allie J; Loftin, Megan C; Pollard-McGrandy, Alyssa M; Zynda, Aaron J; Covassin, Tracey; Park, George; Rizzo, John-Ross; Hudson, Todd; Rucker, Janet C; Galetta, Steven L; Balcer, Laura; Kaufman, David I; Grossman, Scott N

Journal of the neurological sciences. 2022 Nov 15; 442:120445

Accuracy of clinical versus oculographic detection of pathological saccadic slowing

Grossman, Scott N; Calix, Rachel; Hudson, Todd; Rizzo, John Ross; Selesnick, Ivan; Frucht, Steven; Galetta, Steven L; Balcer, Laura J; Rucker, Janet C

Journal of the neurological sciences. 2022 Nov 15; 442:120436

Real-Time Loosely Coupled 3DMA GNSS/Doppler Measurements Integration Using a Graph Optimization and Its Performance Assessments in Urban Canyons of New York

Ng, Hoi-Fung; Hsu, Li-Ta; Lee, Max Jwo Lem; Feng, Junchi; Naeimi, Tahereh; Beheshti, Mahya; Rizzo, John-Ross

Sensors (Basel, Switzerland). 2022 Aug 30; 22:

Evidence-Based Medicine Training in US-based Physiatry Residency Programs

Annaswamy, Thiru M; Rizzo, John-Ross; Schnappinger, Amy; Morgenroth, David C; Engkasan, Julia Patrick; Ilieva, Elena; Arnold, W David; Boninger, Mike; Bean, Allison C; Cirstea, Carmen M; Dicianno, Brad E; Fredericson, Michael; Jayabalan, Prakash; Raghavan, Preeti; Sawaki, Lumy; Suri, Pradeep; Suskauer, Stacy J; Wang, Qing Mei; Hosseini, Maryam; Case, Christina; Whyte, John; Paganoni, Sabrina

American journal of physical medicine & rehabilitation. 2022 Jul 01; 101:S40-S44

Let's Write a Manuscript - A Primer with Tips & Tricks for Penning an Original Article

Ozcakar, Levent; Rizzo, John-Ross; Franchignoni, Franco; Negrini, Stefano; Frontera, Walter R

American journal of physical medicine & rehabilitation. 2022 Jul 01; 101:698-701

The MICK (Mobile integrated cognitive kit) app: Digital rapid automatized naming for visual assessment across the spectrum of neurological disorders

Park, George; Balcer, Marc J; Hasanaj, Lisena; Joseph, Binu; Kenney, Rachel; Hudson, Todd; Rizzo, John-Ross; Rucker, Janet C; Galetta, Steven L; Balcer, Laura J; Grossman, Scott N

Journal of the neurological sciences. 2022 Jan 11; 434:120150

Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to “See” More, Farther and Faster

Yuan, Zhongzheng; Azzino, Tommy; Hao, Yu; Lyu, Yixuan; Pei, Haoyang; Boldini, Alain; Mezzavilla, Marco; Beheshti, Mahya; Porfiri, Maurizio; Hudson, Todd; Seiple, William; Fang, Yi; Rangan, Sundeep; Wang, Yao; Rizzo, J. R.

IEEE access : practical innovations, open solutions. 2022 Jan 01; ?-?

A virtual reality platform to simulate orientation and mobility training for the visually impaired

Ricci, Fabiana Sofia; Boldini, Alain; Beheshti, Mahya; Rizzo, John Ross; Porfiri, Maurizio

Virtual reality. 2022 Jan 01; ?-?