activity
20212026
most citedNetwork-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster

27 citations · 46 across the 10 of their papers we have counts for

collaborators

12 papers

q-bio.QM2026

A multimodal computer-vision based pipeline for eye-hand coordination quantification during the Nine-Hole Peg Test

Rajvardhan Gadde*, Mahya Beheshti*, Anjali Rajkumar +3

The Nine-Hole Peg Test (9-HPT) is a widely used clinical measure of manual dexterity in multiple sclerosis (MS), but its primary outcome, task completion time, provides limited inf…

q-bio.NC2026

Beyond Completion Time: A Multimodal Approach to Characterizing Eye-Hand Coordination During the Nine-Hole Peg Test in Multiple Sclerosis

Mahya Beheshti, Rajvardhan Gadde, Diana Maloku +5

Multiple sclerosis (MS) can impair upper-extremity function through motor, sensory, cognitive, and visual deficits. Although the Nine-Hole Peg Test (9-HPT) is widely used to assess…

cs.CV2026

Evaluating OCR Performance for Assistive Technology: Effects of Walking Speed, Camera Placement, and Camera Type

Junchi Feng, Nikhil Ballem, Mahya Beheshti +5

Optical character recognition (OCR), a process that converts printed or handwritten text into machine-readable form, is widely used in assistive technology for people with blindnes…

cs.HC2026

A Multimodal Assistive System for Product Localization and Retrieval for People who are Blind or have Low Vision

Ligao Ruan, Giles Hamilton-Fletcher, Mahya Beheshti +3

Shopping is a routine activity for sighted individuals, yet for people who are blind or have low vision (pBLV), locating and retrieving products in physical environments remains a…

q-bio.NC2025

Selective disruption of reach-related saccade timing following a middle-cerebral artery stroke

Mahya Beheshti, Todd E Hudson, Rajvardhan Gadde +4

Background: Coordinated control of eye and hand movements is critical for nearly all goal-directed actions, underpinning tasks ranging from simple object manipulation to complex to…

q-bio.QM2025

Head and Eye Control in Persons with Low Vision during Urban Navigation

Mahya Beheshti, John_Ross Rizzo, Sarah Bergquist-Kosumi +3

Low vision involves a range of visual impairments that significantly impact daily activities, particularly navigation in urban environments. Individuals with low vision often devel…

q-bio.NC2025

Residual Gaze Behavior During Navigation in Blindness and Low Vision

Junchi Feng, Fernanda Garcia-Pina, Mahya Beheshti +3

Background: Outdoor navigation poses significant challenges for people with blindness or low vision, yet the role of gaze behavior in supporting mobility remains underexplored. Ful…

cs.HC2024★ 1 cited

Multi-faceted Sensory Substitution for Curb Alerting: A Pilot Investigation in Persons with Blindness and Low Vision

Ligao Ruan, Giles Hamilton-Fletcher, Mahya Beheshti +3

Curbs -- the edge of a raised sidewalk at the point where it meets a street -- crucial in urban environments where they help delineate safe pedestrian zones, from dangerous vehicul…

cs.HC2024

Haptics-based, higher-order Sensory Substitution designed for Object Negotiation in Blindness and Low Vision: Virtual Whiskers

Junchi Feng, Giles Hamilton-Fletcher, Todd E Hudson +3

People with blindness and low vision (pBLV) face challenges in navigating. Mobility aids are crucial for enhancing independence and safety. This paper presents an electronic travel…

cs.CV2024

Can Foundation Models Reliably Identify Spatial Hazards? A Case Study on Curb Segmentation

Diwei Sheng, Giles Hamilton-Fletcher, Mahya Beheshti +2

Curbs serve as vital borders that delineate safe pedestrian zones from potential vehicular traffic hazards. Curbs also represent a primary spatial hazard during dynamic navigation…

cs.CV2022★ 18 cited

UNav: An Infrastructure-Independent Vision-Based Navigation System for People with Blindness and Low vision

Anbang Yang, Mahya Beheshti, Todd E Hudson +5

Vision-based localization approaches now underpin newly emerging navigation pipelines for myriad use cases from robotics to assistive technologies. Compared to sensor-based solutio…

eess.IV2021★ 27 cited

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

Zhongzheng Yuan, Tommy Azzino, Yu Hao +12

Advanced wearable devices are increasingly incorporating high-resolution multi-camera systems. As state-of-the-art neural networks for processing the resulting image data are compu…