Enhancing User Interaction: Gesture-Enabled Virtual Cursor with Voice Integration
The research article proposes a novel approach combining voice control with gesture-enabled virtual mouse technology to enhance human-computer interaction. Using this cutting-edge technology, which uses computer vision techniques to identify hand landmarks, users may control cursor motions using ges...
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| Vydáno v: | 2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN) s. 279 - 286 |
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| Jazyk: | angličtina |
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IEEE
03.05.2024
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| Abstract | The research article proposes a novel approach combining voice control with gesture-enabled virtual mouse technology to enhance human-computer interaction. Using this cutting-edge technology, which uses computer vision techniques to identify hand landmarks, users may control cursor motions using gestures. However, a number of problems with the current methods, such as snapshot algorithms, cloud-based voice assistants, and hand contour extraction, restrict their effectiveness. The accuracy of cursor control may be impacted by challenges in precisely interpreting user gestures due to the intricacy of gesture mapping and a restricted gesture language. Furthermore, the voice assistant component of the system is not robust enough to handle a variety of speech instructions and dynamic voice commands, and it is also dependent on an internet connection. Additionally, there aren't many error handling capabilities, which might lead to worse-than-ideal user experiences when orders aren't carried out precisely. Notwithstanding these difficulties, the proposed system incorporates voice assistant features beyond mouse control, enabling users to utilize mouse motions and natural language instructions to do a variety of activities, including sending emails, opening apps, executing mouse functions, searching the web, and managing files. To fully realize the potential of this integrated voice and gesture-controlled system in improving user experiences and accessibility, it will be imperative to address these issues through enhanced gesture vocabulary, expanded gesture recognition algorithms, and improved voice command processing. |
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| AbstractList | The research article proposes a novel approach combining voice control with gesture-enabled virtual mouse technology to enhance human-computer interaction. Using this cutting-edge technology, which uses computer vision techniques to identify hand landmarks, users may control cursor motions using gestures. However, a number of problems with the current methods, such as snapshot algorithms, cloud-based voice assistants, and hand contour extraction, restrict their effectiveness. The accuracy of cursor control may be impacted by challenges in precisely interpreting user gestures due to the intricacy of gesture mapping and a restricted gesture language. Furthermore, the voice assistant component of the system is not robust enough to handle a variety of speech instructions and dynamic voice commands, and it is also dependent on an internet connection. Additionally, there aren't many error handling capabilities, which might lead to worse-than-ideal user experiences when orders aren't carried out precisely. Notwithstanding these difficulties, the proposed system incorporates voice assistant features beyond mouse control, enabling users to utilize mouse motions and natural language instructions to do a variety of activities, including sending emails, opening apps, executing mouse functions, searching the web, and managing files. To fully realize the potential of this integrated voice and gesture-controlled system in improving user experiences and accessibility, it will be imperative to address these issues through enhanced gesture vocabulary, expanded gesture recognition algorithms, and improved voice command processing. |
| Author | E, Jahnavi R, Kavipriya Devi, V. Anjana |
| Author_xml | – sequence: 1 givenname: V. Anjana surname: Devi fullname: Devi, V. Anjana email: anjanadevi.aby06@gmail.com organization: Rajalakshmi Institute of Technology,Computer Science and Engineering,Chennai,Tamil Nadu,India – sequence: 2 givenname: Jahnavi surname: E fullname: E, Jahnavi email: jahnavi.e.2020.cse@ritchennai.edu.in organization: Rajalakshmi Institute of Technology,Computer Science and Engineering,Chennai,Tamil Nadu,India – sequence: 3 givenname: Kavipriya surname: R fullname: R, Kavipriya email: kavipriya.r.2020.cse@ritchennai.edu.in organization: Rajalakshmi Institute of Technology,Computer Science and Engineering,Chennai,Tamil Nadu,India |
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| Snippet | The research article proposes a novel approach combining voice control with gesture-enabled virtual mouse technology to enhance human-computer interaction.... |
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| SubjectTerms | Cloud-based voice assistant Computer vision Gesture-Enabled Virtual Mouse Human-Computer Interaction Personal voice assistants Smart homes Snapshot algorithm Social networking (online) Tracking Virtual reality Vocabulary Voice Assistant |
| Title | Enhancing User Interaction: Gesture-Enabled Virtual Cursor with Voice Integration |
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