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Title |
A Proposed Touchless Hand-Gesture and Voice Based Model Eliminating COVID-19 Infection Risk While Using ATM Machines |
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Author |
Farhan Alebeisat, Zaid T. Alhalhouli, Hassan A. Yacoub, Mohammad Alsaaydeh and Hazim Al-Rawashdeh2 |
| Citation |
Vol. 22 No. 3 pp. 489-494 |
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Abstract |
With the tremendous advancements in science and technology over the last few years, hand gesture recognition technology and its applications have emerged as an effective tool for reducing the risk of covid-19 spread, such as touchless devices and the use of personal identification tools as solutions to avoid touching equipment and screens. In this paper, we propose a model for using touchless ATM machines services and the method for authenticating the user using The ATM camera for identification, and a computer vision model for enabling it to recognize an individual's hand motions. |
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Keywords |
Vision-based, Human Computer Interaction (HCI), Hand-gesture, COVID-19, Computer-vision (CV) |
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