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EnableController: Generative Kinematics for Universal Access and Gamified Rehabilitation
Conference proceeding   Open access

EnableController: Generative Kinematics for Universal Access and Gamified Rehabilitation

Yiyang Shang and Paul Diefenbach
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Emerging Technologies, pp 1-3
19 Jul 2026
DOI: https://doi.org/10.1145/3799826.3812430
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url
https://doi.org/10.1145/3799826.3812430View
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Abstract

Applied computing -- Health care information systems Computing methodologies -- Artificial intelligence Human-centered computing -- HCI design and evaluation methods
For millions of people with disabilities, standard game controllers act as physical barriers, and while motion-based rehabilitation exists, it is often restricted to unengaging, custom-made software. The primary goal of this research is to solve a fundamental problem in accessibility where controlling a video game using body motion remains too difficult to configure and too limited in application. Our previous solution, the System for Unified Kinematic Input (SUKI+), successfully simplified the development of these motion controls by normalizing sensor data. However, a significant gap remained for the end-user, who still faced complex technical setups and a lack of compatible games. EnableController bridges this gap by introducing a Generative AI layer to simplify configuration and a universal Emulation layer to expand compatibility. By enabling users to configure complex control schemas through natural language and mapping those inputs to standard virtual drivers, EnableController transforms the human body into a universal controller, making accessibility configurable through natural language and compatible with the broad library of PC games that accept standard keyboard or gamepad input.

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