Sequential energy detection for touch input detection
Youngchun Kim, Ahmed H. Tewfik, Nikhil Kundargi
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.
BibTeX
@inproceedings{icassp2015_sequentialenergy,
title = {Sequential energy detection for touch input detection},
author = {Youngchun Kim and Ahmed H. Tewfik and Nikhil Kundargi},
booktitle = {ICASSP 2015},
year = {2015}
}