# Individualized Vestibular Rehabilitation for Elderly with Self-Management and Gaming Elements > **NIH NIH R44** · CFD RESEARCH CORPORATION · 2021 · $793,588 ## Abstract Project Summary/Abstract: Vestibular rehabilitation has been proven to be effective in reducing dizziness and falls in older adults, but patient adherence is a major problem. Recent research shows that less than half of patients complete their rehabilitation. Some of the main reasons for this are the numerous visits that are required and accessibility. In particular for older individuals who experience dizziness and/or falls, it may be difficult to travel to attend rehabilitation sessions. Additionally, rehabilitation programs become expensive in terms of equipment and health professional’s time. Programs may also not be available to all who may benefit because of geographical limitations. Previous research has shown that remote monitoring and gaming elements have great potential to solve these issues, even in an older population. However, current solutions are generic and effectiveness can be inconsistent. The overall goal of this project is to develop a vestibular rehabilitation app to be used by older adults at home. The app will improve adherence through gaming, self-management, and remote monitoring. Patients will use low-cost sensors placed on their bodies (head and waist) to play the games on the app. This allows simultaneous monitoring of patient progress while performing the exercises. This data can be shared with a clinician via email or the cloud, allowing the patient to perform the rehabilitation at their home and the clinician to monitor how well the patients performed their exercises. The vestibular rehabilitation components are packaged in a phone and tablet app that is easy to navigate for older individuals and has a modular design that allows individualized rehabilitation. By improving patient engagement and enjoyment, rehabilitation adherence should be improved as well. Phase I demonstrated feasibility of this approach. In Phase II, games will be added to cover a full at-home rehabilitation session and improve usability of the app. In addition, machine learning algorithms will be developed to provide real-time feedback if exercises are performed incorrectly. This ensures patients will perform their exercises correctly when at home. As in Phase I, clinical collaborators will provide continued guidance and testing throughout development to ensure clinical relevance and promote adoption during commercialization. This project uses a novel approach in that it develops rehabilitation games specifically designed for vestibular rehabilitation through a mobile app tailored for an older population. Current gaming approaches for rehabilitation typically use existing or commercial games. The use of sensors for remote monitoring is also novel in this area and allows patients to perform rehabilitation at their home, while being monitored by a clinician. This project is therefore likely to have a high clinical impact. It will advance clinical practice, make vestibular rehabilitation more accessible to older individuals, and help adherence to p... ## Key facts - **NIH application ID:** 10256015 - **Project number:** 5R44DC017408-03 - **Recipient organization:** CFD RESEARCH CORPORATION - **Principal Investigator:** Paulien Esther Roos - **Activity code:** R44 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2021 - **Award amount:** $793,588 - **Award type:** 5 - **Project period:** 2018-08-01 → 2023-05-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10256015 ## Citation > US National Institutes of Health, RePORTER application 10256015, Individualized Vestibular Rehabilitation for Elderly with Self-Management and Gaming Elements (5R44DC017408-03). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10256015. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*