Title :
Sequential energy detection for touch input detection
Author :
Youngchun Kim ; Tewfik, Ahmed H. ; Kundargi, Nikhil
Author_Institution :
Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
Abstract :
In this paper we propose a novel detection algorithm that delivers impressive savings in the sensing time of the capacitive touchscreen systems using sequential energy detection methods. We also show that these savings can translate into a significant boost to the operational battery life of today´s mobile devices. We provide numerical analysis of sequential energy detection scheme, and the average sample number of measurements required to decide the presence of a touch input is derived. The analysis and simulation results confirm that the proposed scheme can save at least 70% or more computational resources for performing touch detection under realistic noise condition as compared to the conventional fixed sample size detection scheme.
Keywords :
mobile communication; mobile computing; touch sensitive screens; capacitive touchscreen systems; impressive savings; mobile devices; novel detection algorithm; numerical analysis; operational battery life; sequential energy detection; touch input detection; binary hypothesis test; capacitive touch screen; energy detector; sequential detection;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
DOI :
10.1109/ICASSP.2015.7178710