SmartHMD for Improved Mobility
Smart Head Mounted Display (smartHMD) for Improved Mobility
1 other identifier
interventional
21
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Apr 2019
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 12, 2018
CompletedFirst Posted
Study publicly available on registry
December 20, 2018
CompletedStudy Start
First participant enrolled
April 26, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 7, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
November 7, 2022
CompletedResults Posted
Study results publicly available
December 12, 2024
CompletedDecember 12, 2024
December 1, 2024
3.5 years
December 12, 2018
September 11, 2024
December 10, 2024
Conditions
Outcome Measures
Primary Outcomes (1)
Time-to-Complete
Duration from start of trial to subject completing their assigned task (seconds).
2 hours
Secondary Outcomes (4)
Percentage of Preferred Walking Speed
2 hours
Number of Unintended Contacts With Obstacles and Walls
2 hours
Number of Incorrect Turns
2 hours
Number of Interventions
2 hours
Study Arms (4)
Outdoor and ODG
EXPERIMENTALParticipants used the first version of the SmartHMD device, which used custom software running on commercially available ODG R7 smart glasses and accompanying earbuds. Participants used the device to navigate across an outdoor crosswalk.
Indoor and Laptop
EXPERIMENTALParticipants use the second version of the SmartHMD device, which uses RGB-D smart glasses, custom software running on a laptop, and bone-conducting earphones. Participants use the device to locate the door within an indoor course.
RGBD & Jetson - Indoor Course
EXPERIMENTALParticipants use a new iteration of the SmartHMD device, which uses RGB-D smart glasses, bone-conducting earphones, a Jetson mobile computer, and custom software. Participants use the device to navigate their way through an indoor course.
RGBD & Jetson - Outdoor Crosswalk
EXPERIMENTALParticipants use the SmartHMD device, which uses RGB-D smart glasses, bone-conducting earphones, a Jetson mobile computer, and a specific version of custom software. Participants use the device to navigate their way through an outdoor crosswalk.
Interventions
First version of the SmartHMD device, which used custom software running on commercially available ODG R7 smart glasses and accompanying earbuds.
Second version of the SmartHMD device, which uses RGB-D smart glasses, custom software running on a laptop, and bone-conducting earphones.
Third iteration of the SmartHMD device, which uses RGB-D smart glasses, bone-conducting earphones, a Jetson mobile computer, and custom software.
Fourth iteration of the SmartHMD device, which uses RGB-D smart glasses, bone-conducting earphones, a Jetson mobile computer, and a specific version of custom software.
Eligibility Criteria
You may qualify if:
- Diagnosed with low vision
- Self reported difficulty with mobility and finding doors (either indoors or outdoors) and using signalized crosswalks.
- Ability to cooperate for tests
- Able to participate in all visits
You may not qualify if:
- Unable to use head mounted display 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)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- James Weilandlead
Study Sites (1)
North Campus Research Complex
Ann Arbor, Michigan, 48105, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- James Weiland
- Organization
- University of Michigan Medical School
Study Officials
- PRINCIPAL INVESTIGATOR
James Weiland, PhD
University of Michigan
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Professor of Biomedical Engineering
Study Record Dates
First Submitted
December 12, 2018
First Posted
December 20, 2018
Study Start
April 26, 2019
Primary Completion
November 7, 2022
Study Completion
November 7, 2022
Last Updated
December 12, 2024
Results First Posted
December 12, 2024
Record last verified: 2024-12
Data Sharing
- IPD Sharing
- Will not share