Implementation of Virtual Touch Service Using Hand Gesture Recognition 


Vol. 13,  No. 10, pp. 505-512, Oct.  2024
https://doi.org/10.3745/TKIPS.2024.13.10.505


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  Abstract

As the need for hygiene management increases due to COVID-19, the importance of non-contact services is gaining attention. Hands, a tool for expressing intentions and conveying information, are emerging as an alternative to computer input devices such as the keyboard and mouse. In this study, we propose a method to address public health problems that arise when using unmanned ordering machines by controlling a computer using hand gestures detected through a camera. The focus is on identifying frequently used hand gestures, especially the bending of the index finger. To this end, we develop a non-contact input device using the MediaPipe framework and the long short-term memory (LSTM) model. This approach can identify hand gestures in three-dimensional space and provides scenarios that can be applied to the fields of virtual reality (VR) and augmented reality (AR). It offers improved public health and user experience by presenting methods that can be applied to various situations such as navigation systems and unmanned ordering machines.

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[IEEE Style]

A. Cho, S. Yoo, B. Yun, H. Cho, "Implementation of Virtual Touch Service Using Hand Gesture Recognition," The Transactions of the Korea Information Processing Society, vol. 13, no. 10, pp. 505-512, 2024. DOI: https://doi.org/10.3745/TKIPS.2024.13.10.505.

[ACM Style]

A-Ra Cho, Seung-Bae Yoo, Byeong-Hun Yun, and Hyung-Ju Cho. 2024. Implementation of Virtual Touch Service Using Hand Gesture Recognition. The Transactions of the Korea Information Processing Society, 13, 10, (2024), 505-512. DOI: https://doi.org/10.3745/TKIPS.2024.13.10.505.

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