AI-DRIVEN PERIPHERAL DEVICE MANAGEMENT AND ASSISTIVE MULTI-MODAL INPUT FOR WIRELESS HUMAN-COMPUTER INTERACTION
This paper explores AI-assisted peripheral management techniques that improve traditional input methods through modular and linear layouts combined with voice-based support. Modular and linear approaches let users construct macros with temporal logic, enabling faster setup and more intuitive execution. Voice models extend accessibility by allowing disabled users to configure and later trigger complex key combinations through simplified inputs.
Authors
- M Wang
- Peijin Du
Publication Details
- Journal
- International Journal on Cybernetics & Informatics
- Published
- 2025-09-29
- DOI
- https://doi.org/10.5121/ijci.2025.140503
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00