Mobility Limitation Clinical Trial
Official title:
Smart Head Mounted Display (smartHMD) for Improved Mobility
The National Eye Institute estimated about 3 million people over age 40 in the US had low vision in 2010 and projects an increase to nearly 5 million in 2030 and 9 million in 2050. Current assistive technologies are a patchwork of mostly low-technology aids with limited capabilities that are often difficult to use, and are not widely adopted. This shortfall in capabilities of assistive technology often stems from lack of a user-centered design approach and is a critical barrier to improve the everyday activities of life (EDAL) and the quality of life (QOL) for individuals with low vision. An intuitive head mounted display (HMD) system on enhancing orientation and mobility (O&M) and crosswalk navigation, could improve independence, potentially decrease falls, and improve EDAL and QOL. The central hypothesis is that an electronic navigation system incorporating computer vision will enhance O&M for individuals with low vision. The goal is to develop and validate a smartHMD by incorporating advanced computer vision algorithms and flexible user interfaces that can be precisely tailored to an individual's O&M need. This project will address the specific question of mobility while the subject crosses a street at a signaled crosswalk. This is a dangerous and difficult task for visually impaired patients and a significant barrier to independent mobility.
Status | Recruiting |
Enrollment | 30 |
Est. completion date | February 20, 2024 |
Est. primary completion date | February 20, 2024 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 14 Years to 89 Years |
Eligibility | Inclusion Criteria: - Diagnosed with low vision - Self reported difficulty with mobility and finding doors (either indoors or outdoors) and using signalized crosswalks. - Stratify vision with half best corrected vision better than or equal to 20/100, and other half best corrected vision worse than 20/100 - Ability to use smart phone - Ability to cooperate for tests - Able to participate in all visits Exclusion Criteria: - Unable to use head mounted display or smart phone technology - Unstable age-related macular degeneration within the past 3 months - Unstable diabetic retinopathy within the past 3 months - Unstable diabetes within the past 3 months - Ocular infection or ocular inflammation in the past 3 months - Ocular trauma within the past 6 months - Intraocular surgery within 6 months - Optical coherence tomography retinal findings of concern to investigator for unstable vision during the study - Women who are pregnant (due to risk of falls and change in gait). - Uncontrolled seizure disorder in the past 6 months - Cerebrovascular accident occurring in the past 6 months - Parkinson disease or neurological condition that limits mobility - Alzheimer disease or other forms of dementia - Conditions of concern to investigator that would confound orientation and mobility, such as severe arthritis, pain that limits ambulatory activities, or orthopedic surgery (e.g., hand, arm, shoulder, knee, or hip surgery within 12 months) |
Country | Name | City | State |
---|---|---|---|
United States | North Campus Research Complex | Ann Arbor | Michigan |
Lead Sponsor | Collaborator |
---|---|
James Weiland |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Mobility accuracy: Percentage Correct Alignment | Percentage Trials correctly aligned at the crosswalk (Yes/No Classification). Alignment of feet position relative to lines on sidewalk parallel to street and perpendicular to crosswalk. +/- 10 degrees will be considered correct. | 2 hours | |
Primary | Mobility accuracy: Veering | The amount of deviation, in degrees, from optimal path (Optimal path for baseline and sham conditions: straight down the middle of pathway; optimal path for smartHMD condition: cued path from smartHMD) | 2 hours | |
Primary | Mobility accuracy: Percentage Cue Usage | Percentage Times subject needed cues from smartHMD and how well they responded to the cues (smartHMD condition only) | 2 hours | |
Secondary | Detection of Signal | Percentage Trials subject correctly identified the displayed signal on the Pedestrian Signal (Yes/No Classification) | 2 hours | |
Secondary | Time-to-Complete | Duration from start of trial to subject locating the pedestrian signal (seconds) | 2 hours |
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