Demonstration of CameraMouseAI: A Head-Based Mouse-Control System for People with Severe Motor Disabilities

We propose the mouse control system CameraMouseAI that includes real-time facial feature detection and new ways to map facial feature movements to mouse clicks. In addition to selecting items on the screen with the traditional dwell-time mechanism, users can perform mouse commands on the screen by opening their mouth or raising their eyebrows. The modular and open source design of CameraMouseAI enables developers to update the platform with new computer vision and machine learning models and extend its functionality. User experiments with the CameraMouseAI involved target selection, web browsing, and typing. A group of 12 adults without motor impairments and four adults with severe motor impairments were able to use the application to complete both target selection and web browsing tasks.

Authors

Institutions

Publication Details

Published
2024-10-20
DOI
https://doi.org/10.1145/3663548.3688499
Citations
3
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
1.12
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Demonstration of CameraMouseAI: A Head-Based Mouse-Control System for People with Severe Motor Disabilities

Srishti Jain, Wenxin Feng, Hao Yu, Margrit Betke et al.
3 citations
Gaze Tracking and Assistive Technology
1.12
article

Demonstration of CameraMouseAI: A Head-Based Mouse-Control System for People with Severe Motor Disabilities

Srishti Jain, Wenxin Feng, Hao Yu, Margrit Betke, Farid Karimli, Emmanuel Sarpong Akosah
article en
3 citations

Abstract

We propose the mouse control system CameraMouseAI that includes real-time facial feature detection and new ways to map facial feature movements to mouse clicks. In addition to selecting items on the screen with the traditional dwell-time mechanism, users can perform mouse commands on the screen by opening their mouth or raising their eyebrows. The modular and open source design of CameraMouseAI enables developers to update the platform with new computer vision and machine learning models and extend its functionality. User experiments with the CameraMouseAI involved target selection, web browsing, and typing. A group of 12 adults without motor impairments and four adults with severe motor impairments were able to use the application to complete both target selection and web browsing tasks.

Boston University (US), Google (United States) (US)
Reduced inequalities
Openalex Percentile: Top 21%
Gaze Tracking and Assistive Technology
1.12
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.