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

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
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article

AI-DRIVEN PERIPHERAL DEVICE MANAGEMENT AND ASSISTIVE MULTI-MODAL INPUT FOR WIRELESS HUMAN-COMPUTER INTERACTION

M Wang, Peijin Du
International Journal on Cybernetics & Informatics
Context-Aware Activity Recognition Systems
article

AI-DRIVEN PERIPHERAL DEVICE MANAGEMENT AND ASSISTIVE MULTI-MODAL INPUT FOR WIRELESS HUMAN-COMPUTER INTERACTION

M Wang, Peijin Du
article en

Abstract

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.

International Journal on Cybernetics & InformaticsVol. 14(5)
Openalex Percentile: Top 73%
Context-Aware Activity Recognition Systems
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AI-DRIVEN PERIPHERAL DEVICE MANAGEMENT AND ASSISTIVE MULTI-MODAL INPUT FOR WIRELESS HUMAN-COMPUTER INTERACTION — M Wang, Peijin Du · International Journal on Cybernetics & Informatics (2025) | TGRS Research Map | TGRS