AccessAI Nexus: A Multimodal Hands-Free Human–Computer Interaction System Using Facial Gestures and Voice Commands
This paper presents AccessAI Nexus, a multimodal human–computer interaction prototype designed to enable hands-free computer interaction through facial gestures and voice commands. The system combines webcam-based facial landmark processing, speech recognition, intent processing, and computer-control automation to support cursor movement, clicking, scrolling, application control, browser navigation, keyboard actions, and voice typing. The prototype was evaluated in a preliminary single-user study consisting of 65 task trials: 30 facial-interaction trials, 30 voice-command trials, and 5 voice-typing trials. Facial tasks achieved a 100% task success rate across the recorded trials, while voice-command recognition and execution achieved 93.33% and 80.00%, respectively. Voice typing was correct in 60% of the five trials. These results characterize the behavior of the tested prototype and identify execution reliability and speech-related errors as areas for improvement. The study is preliminary and does not establish clinical effectiveness or generalizability to the broader population.
Authors
- Suprabha Sinha
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-21
- DOI
- https://doi.org/10.5281/zenodo.22870156
- Primary Topic
- Gaze Tracking and Assistive Technology
- Type
- preprint