Title :
Multi touch shape recognition for projected capacitive touch screen
Author :
I. Guarneri;A. Capra;G. M. Farinella;F. Cristaldi;S. Battiato
Author_Institution :
STMicroelectronics, Computer Vision Group, Stradale Primosole, Catania, Italy
Abstract :
Devices equipped by touch screens are nowadays widely diffused. One of the most meaningful factor which leads to this success is their easy and intuitive interface which allows a friendly user-device interaction. Touch shape recognition is a topic which has contributed to the realization of these types of interfaces. In this paper we propose a solution able to discriminate among different classes of touch shapes. We focus on the problem of recognizing typical touches performed in mid-sized devices as tablets and phablets. The proposed solution discriminates among single finger, multiple fingers and palm by reaching high recognition accuracy and maintaining a low computational complexity.
Keywords :
"Shape","Thumb","Capacitance","Accuracy","Prototypes","Noise"
Conference_Titel :
Computer Vision Theory and Applications (VISAPP), 2014 International Conference on