Unlocking a New Era in Human-Computer Interaction with Transformative AI Virtual Mice for Unparalleled Accessibility, Hygiene, and User Experience

The ubiquitous physical mouse, despite its years of service, presents challenges in accessibility, hygiene, and user experience. This paper explores the transformative potential of AI Virtual Mouse (AI VM) systems, powered by deep learning, to revolutionize human-computer interaction (HCI). We are involved in the intricate interplay between computer vision and deep learning architectures, dissecting various approaches to hand segmentation, gesture recognition, and model training. Through rigorous evaluation based on accuracy, speed, and robustness, we analyze the strengths and weaknesses of different configurations, paving the way for optimal performance. This example of the advancement of touchless HCI interfaces also opens doors to exciting future directions, including personalized control, integration with AR/VR technologies, and broader applications across diverse domains. For decades, the humble physical mouse has reigned supreme as our gateway to the digital world. Yet, despite its familiarity, it comes with limitations – accessibility hurdles, hygiene concerns, and a user experience that has not fundamentally evolved. This paper heralds a transformative era, where AI Virtual Mouse (AI VM) systems, powered by the magic of deep learning, are poised to revolutionize human-computer interaction (HCI).

Authors

Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/icraset63057.2024.10895157
Citations
1
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.33
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article

Unlocking a New Era in Human-Computer Interaction with Transformative AI Virtual Mice for Unparalleled Accessibility, Hygiene, and User Experience

Syeda Zinath Aman, Paudel Dinesh, S Kusuma, Manjula Prabakaran et al.
1 citations
Robotics and Automated Systems
0.33
article

Unlocking a New Era in Human-Computer Interaction with Transformative AI Virtual Mice for Unparalleled Accessibility, Hygiene, and User Experience

Syeda Zinath Aman, Paudel Dinesh, S Kusuma, Manjula Prabakaran, S Faliha
article en
1 citations

Abstract

The ubiquitous physical mouse, despite its years of service, presents challenges in accessibility, hygiene, and user experience. This paper explores the transformative potential of AI Virtual Mouse (AI VM) systems, powered by deep learning, to revolutionize human-computer interaction (HCI). We are involved in the intricate interplay between computer vision and deep learning architectures, dissecting various approaches to hand segmentation, gesture recognition, and model training. Through rigorous evaluation based on accuracy, speed, and robustness, we analyze the strengths and weaknesses of different configurations, paving the way for optimal performance. This example of the advancement of touchless HCI interfaces also opens doors to exciting future directions, including personalized control, integration with AR/VR technologies, and broader applications across diverse domains. For decades, the humble physical mouse has reigned supreme as our gateway to the digital world. Yet, despite its familiarity, it comes with limitations – accessibility hurdles, hygiene concerns, and a user experience that has not fundamentally evolved. This paper heralds a transformative era, where AI Virtual Mouse (AI VM) systems, powered by the magic of deep learning, are poised to revolutionize human-computer interaction (HCI).

Openalex Percentile: Top 36%
Robotics and Automated Systems
0.33
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Unlocking a New Era in Human-Computer Interaction with Transformative AI Virtual Mice for Unparalleled Accessibility, Hygiene, and User Experience — Syeda Zinath Aman, Paudel Dinesh, et al. · (2024) | TGRS Research Map | TGRS