Al-Powered Virtual Mouse Using Computer Vision
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2025
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| _version_ | 1866902130275647488 |
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| author | Sathishkumar K Vasudevan S Sampathkumar K Sachin S Dr. V. Kamalaveni |
| author_facet | Sathishkumar K Vasudevan S Sampathkumar K Sachin S Dr. V. Kamalaveni |
| contents | <p><span lang="EN-IN">Traditional computer interaction primarily relies on </span><em><span lang="EN-IN">physical devices such as keyboards and mice. Although these devices have been reliable for decades, they create limitations in terms of ergonomics, hygiene, and accessibility. In the modern era of Human–Computer Interaction (HCI), there is a growing demand for touch less solutions that improve convenience and safety, particularly in the wake of global health concerns.</span></em></p> <p><em><span lang="EN-IN">This project presents a </span></em><em><span lang="EN-IN">vision-based virtual mouse system</span><span lang="EN-IN"> that allows users to control computer operations through hand gestures captured via a standard webcam. The system leverages </span></em><em><span lang="EN-IN">OpenCV for image processing, Mediapipe for hand landmark detection, and PyAutoGUI for mouse event control</span><span lang="EN-IN">. The index finger is mapped to cursor movement, while proximity between the index and thumb fingers is used to trigger click events.</span></em></p> <p><em><span lang="EN-IN">Experimental results demonstrate that the proposed system operates in real time with high accuracy, achieving smooth cursor movement and reliable click detection. The solution is low-cost, requires no specialized hardware, and can serve as an accessible interface for everyday computing, interactive presentations, and assistive technologies.</span></em></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17222045 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Al-Powered Virtual Mouse Using Computer Vision Sathishkumar K Vasudevan S Sampathkumar K Sachin S Dr. V. Kamalaveni Virtual Mouse, Hand Gesture Recognition, OpenCV, Mediapipe, Human–Computer Interaction (HCI), PyAutoGUI <p><span lang="EN-IN">Traditional computer interaction primarily relies on </span><em><span lang="EN-IN">physical devices such as keyboards and mice. Although these devices have been reliable for decades, they create limitations in terms of ergonomics, hygiene, and accessibility. In the modern era of Human–Computer Interaction (HCI), there is a growing demand for touch less solutions that improve convenience and safety, particularly in the wake of global health concerns.</span></em></p> <p><em><span lang="EN-IN">This project presents a </span></em><em><span lang="EN-IN">vision-based virtual mouse system</span><span lang="EN-IN"> that allows users to control computer operations through hand gestures captured via a standard webcam. The system leverages </span></em><em><span lang="EN-IN">OpenCV for image processing, Mediapipe for hand landmark detection, and PyAutoGUI for mouse event control</span><span lang="EN-IN">. The index finger is mapped to cursor movement, while proximity between the index and thumb fingers is used to trigger click events.</span></em></p> <p><em><span lang="EN-IN">Experimental results demonstrate that the proposed system operates in real time with high accuracy, achieving smooth cursor movement and reliable click detection. The solution is low-cost, requires no specialized hardware, and can serve as an accessible interface for everyday computing, interactive presentations, and assistive technologies.</span></em></p> |
| title | Al-Powered Virtual Mouse Using Computer Vision |
| topic | Virtual Mouse, Hand Gesture Recognition, OpenCV, Mediapipe, Human–Computer Interaction (HCI), PyAutoGUI |
| url | https://doi.org/10.5281/zenodo.17222045 |