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Integrating AI Personalization into KeyStroke, an In-Home Music-Based Therapy App, for Upper Extremity Motor Recovery After Stroke

Award Number: 90IFST0030
ORGANIZATION: NATIONAL INSTITUTE ON DISABILITY, INDEPENDENT LIVING, AND REHABILITATION RESEARCH
OPDIV: ACL
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: OTHER
PERIOD OF PERFORMANCE START DATE: 09/30/2026
PERIOD OF PERFORMANCE END DATE: 09/29/2029

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Integrating AI Personalization into KeyStroke, an In-Home Music-Based Therapy App, for Upper Extremity Motor Recovery After Stroke - After stroke, most individuals experience persistent upper extremity (UE) deficits that limit function, daily activities, and quality of life. Although high-dosage practice is essential for recovery, rehabilitation access is often limited. Home exercise programs can increase access and training dosage; however, adherence remains challenging, as many programs rely on monotonous exercises that lack engagement and meaningful context. Music-based therapy (MBT) enhances engagement and supports motor recovery, yet it is typically delivered in clinical settings. To expand MBT to home, our team developed KeyStroke, a mobile app that delivers leisure-based home training for UE recovery after stroke. The goal of this proof-of-product project is to enhance KeyStroke by integrating real-time movement sensing and AI-driven personalization to deliver adaptive rehabilitation tailored to stroke survivors’ evolving needs. Specifically, we will (1) develop and validate a prism-based sensing system to capture movement kinematics (e.g., hand/finger use, movement quality) during home-based KeyStroke exercises, (2 & 3) develop AI-driven algorithms that integrate sensing data to recommend exercise levels and generate individualized exercise content aligned with therapeutic goals, informed by a co-design process with stroke survivors and therapists, and (4) conduct a home-based feasibility study to evaluate the usability, usefulness, and preliminary effectiveness of the AI-enabled KeyStroke. This project will establish the feasibility and value of a data-informed, AI-enabled rehabilitation approach. Findings will support a future proof-of-adoption study examining integration of KeyStroke into routine rehabilitation services, including outpatient and community-based programs. In the long term, this work aims to expand access to adaptive, personalized rehabilitation, improve adherence and training effectiveness, and support independent living for individuals with stroke and other UE impairments.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2027 ( Subtotal = $0 )
2027	2026	GEORGIA STATE UNIVERSITY RESEARCH FOUNDATION INC	58 EDGEWOOD AVE NE	ATLANTA	GA	30303	FULTON	USA	ACL National Institute on Disability, Independent Living, and Rehabilitation Research	01	1	10/20/2026	OTHER REVISION	$0
														Subtotal = $0

Issue Date FY: 2026 ( Subtotal = $249,998 )
2026	2026	GEORGIA STATE UNIVERSITY RESEARCH FOUNDATION INC	58 EDGEWOOD AVE NE	ATLANTA	GA	30303	FULTON	USA	ACL National Institute on Disability, Independent Living, and Rehabilitation Research	00	1	9/29/2026	NEW	$249,998
														Subtotal = $249,998

Grand Total All Awards = $249,998

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Integrating AI Personalization into KeyStroke, an In-Home Music-Based Therapy App, for Upper Extremity Motor Recovery After Stroke

Award Number: 90IFST0030

ORGANIZATION: NATIONAL INSTITUTE ON DISABILITY, INDEPENDENT LIVING, AND REHABILITATION RESEARCH

OPDIV: ACL

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: OTHER

PERIOD OF PERFORMANCE START DATE: 09/30/2026

PERIOD OF PERFORMANCE END DATE: 09/29/2029

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