Redesigning Multimodal Interaction: Adaptive Signal Processing and Cross-Modal Interaction for Hands-Free Computer Interaction.

Bui Hong Quan, Nguyen Dinh Tuan Anh, Hoang Van Phi, Bui Trung Thanh

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Bui Hong QuanFaculty of Information Technology, VNU-University of Engineering and Technology (VNU-UET), Hanoi 10000, Vietnam.

Nguyen Dinh Tuan AnhFaculty of Information Technology, VNU-University of Engineering and Technology (VNU-UET), Hanoi 10000, Vietnam.

Hoang Van PhiFaculty of Information Technology, VNU-University of Engineering and Technology (VNU-UET), Hanoi 10000, Vietnam.

Bui Trung ThanhFaculty of Mechanical Engineering, Hung Yen University of Technology and Education, Hungyen 16000, Vietnam.ORCID 0009-0000-5822-2675

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hands-free computer interaction is a key topic in assistive technology, with camera-based and voice-based systems being the most common methods. Recent camera-based solutions leverage facial expressions or head movements to simulate mouse clicks or key presses, while voice-based systems enable control via speech commands, wake-word detection, and vocal gestures. However, existing systems often suffer from limitations in responsiveness and accuracy, especially under real-world conditions. In this paper, we present 3-Modal Human-Computer Interaction (3M-HCI), a novel interaction system that dynamically integrates facial, vocal, and eye-based inputs through a new signal processing pipeline and a cross-modal coordination mechanism. This approach not only enhances recognition accuracy but also reduces interaction latency. Experimental results demonstrate that 3M-HCI outperforms several recent hands-free interaction solutions in both speed and precision, highlighting its potential as a robust assistive interface.

Indexed as

Signal Processing, Computer-AssistedUser-Computer InterfaceAlgorithmsFacial ExpressionGesturesHumansVoiceadaptive signal processingassistive technologyhands-free interactionhuman-computer interactionmultimodal interactionvision/camera-based sensors

Identifiers

PMID40942843

DOI10.3390/s25175411

PMCPMC12431494

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.