Self-Calibrated Contact-less Touch Recognition based on Finger Depth Displacement Detection

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초록

We used Leap Motion with processing language to develop a contact-less touch-pad. Leap Motion is based on gestures expressed by hands and fingers. It helps reality affect other digital devices easily and directly. To achieve a dynamic 3D input in the reality, rather than simply documenting movement, it is necessary to investigate the fingers' actual location of fingers and their location relative to the device. Through the relationship between the two positions, continuous environments can be described as compositions of discrete coordinates. Thus, changes in position can be considered gestures. Using this method, devices can respond to finger positions as well as gestures. The proposed method, in which the cursor follows a particular finger location, can replace the mouse by using existing example code in Leap Motion. Such a cursor made by processing language can move and click just like a mouse. In other words, Leap Motion can play the same role as a physical ATM keypad. The completed keypad will facilitate contact-less activity by replacing many machines that include keypads.

제목
Self-Calibrated Contact-less Touch Recognition based on Finger Depth Displacement Detection
저자
Suk, Bohyun; Park, Daejin
DOI
10.1109/ICCE-Asia53811.2021.9642014
발행일
2021
유형
Proceedings Paper
저널명
2021 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-ASIA (ICCE-ASIA)