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Find similar grantsAutomated Orientation & Mobility Training in Virtual Reality for Low Vision Rehabilitation is sponsored by National Eye Institute (NEI). Supports research on virtual reality-based training systems to improve orientation and mobility for individuals with low vision.
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Automated Orientation & Mobility Training in Virtual Reality for Low Vision Rehabilitation Project Number 5R01EY030470-05 The long-term objective of the research is to use Virtual Reality-based Intelligent Orientation & Mobility Specialists (VR-IOMSs) to teach a large portion of the orientation & mobility (O&M) curriculum to low vision (LV) patients.
O&M, the ability to orient oneself and to travel independently, safely and efficiently in any environment, is the foundation of independent living and high quality of life. O&M rehabilitation is the only proven intervention that restores mobility lost to LV. Current O&M rehabilitation is conducted by certified O&M specialists (COMS) in real streets.
The shortage and uneven distribution of COMS, the mobility difficulty of LV patients, the long training needed to regain independent travel, the non-reimbursable cost of COMS time and the low income/unemployment status of the LV population make this valuable service inaccessible and unaffordable to many who need it the most. A VR-IOMS, a computer program, combines virtual reality and intelligent tutoring technologies.
When VR-IOMS courses are delivered through the internet, LV patients can receive quality O&M training in safe virtual environments at their convenient location and time with little cost. This new intervention can thus reduce the accessibility and affordability barriers to O&M rehabilitation. The proposed research is built on our previous study of teaching O&M skills in virtual streets.
It is designed to test the hypothesis that there is no difference in real street O&M performance between LV patients who receive O&M training from VR-IOMSs and those who receive training from human COMSs in real streets. Three specific aims will be achieved. 1) Design VR-IOMSs.
Three VR-IOMSs for three important O&M tasks, timing to cross a signalized street, timing to cross an uncontrolled street and learning the outdoor numbering system, will be designed. This involves collecting expert knowledge about teaching these tasks through focus group research, defining intelligent course flow and designing course contents in virtual reality. 2) Implement the VR- IOMSs.
This involves building virtual reality simulators, developing virtual street scenarios, authoring the intelligent course, programming interfaces between the intelligent O&M specialists and virtual street scenarios. 3) Validate the VR-IOMSs. A randomized training trial will be conducted to compare VR-IOMS and human COMS O&M training.
LV subjects will be randomized to learning the three O&M tasks from the VR-IOMSs, from human COMSs and no training. All subjects will be taken to real streets by COMSs before and after training to evaluate their O&M task performance. Pre- and post-training performance changes of the three groups will be compared to quantify relative training effectiveness.
If these VR-IOMSs are proven effective, more will be developed and validated in future research. Clinical deployment of these training agents will restore independent travel to more LV patients. The VR-IOMSs, with their explicitly defined training strategies, objective assessments of learner behavior and quantitative outcome measures, can serve as platforms to advance O&M research.
Experience gained here can be used to improve other fields of rehabilitation. Public Health Relevance Statement Project Narrative Orientation & Mobility rehabilitation, a branch of low vision rehabilitation, can restore independent travel to patients with low vision and thus can improve their quality of life. Many patients have difficulties to access current orientation and mobility rehabilitation or to pay for it.
The proposed research leverages the power modern computer technologies to make this valuable service more accessible and affordable.
Behavioral and Social Science Clinical Research Clinical Trials and Supportive Activities Eye Disease and Disorders of Vision Networking and Information Technology R&D (NITRD)Rehabilitation Activities of Daily Living Affect Alabama American Analysis of Variance Behavior Certification Clinical Computers Course Content Educational Curriculum Educational process of instructing Effectiveness Environment Feedback Focus Groups Foundations Human Impairment Independent Living Individual Instruction Intelligence Internet Intervention Knowledge Laboratory Research Learning Location Low income Modernization Neighborhoods Outcome Outcome Measure Patients Performance Persons Population Process Quality of life Randomized Rehabilitation therapy Research Research Personnel Resources Safety Services Signal Transduction Site Specialist Specific qualifier value Step training Students System Task Performances Technology Testing Time Training Travel Unemployment Universities Vision Visual impairment blind computer monitor computer program cost deaf design effectiveness evaluation experience flexibility improved intelligent tutoring system medical services inaccessibility mobility rehabilitation novel strategies primary outcome programs recruit rehabilitation service secondary outcome skill acquisition skills skills training tutoring verbal virtual virtual environment virtual reality virtual reality simulator vision rehabilitation SCHOOLS OF OPTOMETRY/OPHT TECH [Bioengineering of Neuroscience, Vision and Low Vision Technologies Study Section[BNVT]](https://public.
csr. nih. gov/StudySections/StandingStudySections) Administering Institutes or Centers Assistance Listing Number Project Funding Information for 2023 NIH Categorical SpendingClick here for more information on NIH Categorical Spending No Sub Projects information available for 5R01EY030470-05 Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding.
This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
No Publications available for 5R01EY030470-05 No Patents information available for 5R01EY030470-05 The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
No Outcomes available for 5R01EY030470-05 No Clinical Studies information available for 5R01EY030470-05 No news release information available for 5R01EY030470-05 No Historical information available for 5R01EY030470-05 No Similar Projects information available for 5R01EY030470-05 ## Select options for export:
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Automated Orientation & Mobility Training in Virtual Reality for Low Vision Rehabilitation is funded by National Eye Institute (NEI). Verify program details on the funder's official page before applying.
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Computational Approaches in Fundamental Neuroscience (Highlighted Topic) is sponsored by National Institutes of Health (NIH) - National Institute of Mental Health (NIMH), National Center for Complementary and Integrative Health (NCCIH), National Eye Institute (NEI), National Institute on Aging (NIA), National Institute on Drug Abuse (NIDA), Office of Research on Women's Health (ORWH). This highlighted topic promotes the integration of computational approaches into fundamental neuroscience research.
Computational Approaches in Fundamental Neuroscience is sponsored by National Institute of Mental Health (NIMH), National Institute on Aging (NIA), National Center for Complementary and Integrative Health (NCCIH), National Eye Institute (NEI), National Institute on Drug Abuse (NIDA), Office of Research on Women's Health (ORWH) (National Institutes of Health). This program promotes the integration of computational approaches, including machine learning and AI algorithms, into fundamental neuroscience research. It encourages rigorous, hypothesis-driven multidisciplinary research to investigate molecular and cellular mechanisms underlying brain function in health and disease across the lifespan, relevant to cognitive, affective, and social domains.
NCI Continuing Umbrella of Research Experiences (CURE) Academic Career Excellence (ACE) Award (K32) is a grant from the National Cancer Institute (NCI) that funds early postdoctoral fellows from diverse backgrounds, including underrepresented groups, to pursue research training in cancer-related fields. The K32 award supports fellows within 12 months prior to transitioning into, or within the first two years of, a postdoctoral position. The program, operated through NCI's Center to Reduce Cancer Health Disparities (CRCHD), aims to enhance the pool of qualified diverse cancer researchers. Beginning with the June 12, 2025 due date, the CURE ACE Award is available in both Independent Clinical Trial Required and Independent Clinical Trial Not Allowed versions. Eligible applicants must be U.S. citizens or permanent residents at time of award.
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