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Optical Engineering

Laser spot detection-based computer interface system using autoassociative multilayer perceptron with input-to-output mapping-sensitive error back propagation learning algorithm
Author(s): Sungmoon Jeong; Chanwoong Jung; Cheol-Su Kim; Jae Hoon Shim; Minho Lee
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Paper Abstract

This paper presents a new computer interface system based on laser spot detection and moving pattern analysis of the detected laser spots in real-time processing. We propose a systematic method that uses either the frame difference of successive input images or an autoassociative multilayer perceptron (AAMLP) to detect laser spots. The AAMLP is applied only to areas of the input images where the frame difference of the successive images is not effective for detecting laser spots. In order to enhance the detection performance, the AAMLP is trained by a new training algorithm that increases the sensitivity of the input-to-output mapping of the AAMLP allowing a small variation in the input feature of the laser spot image to be successfully indicated. The proposed interface system is also able to keep track of the laser spot and recognize gesture commands. The moving pattern of the laser spot is recognized by using a multilayer perception. It is experimentally shown that the proposed computer interface system is fast enough for real-time operation with reliable accuracy.

Paper Details

Date Published: 1 August 2011
PDF: 12 pages
Opt. Eng. 50(8) 084302 doi: 10.1117/1.3610985
Published in: Optical Engineering Volume 50, Issue 8
Show Author Affiliations
Sungmoon Jeong, Kyungpook National Univ. (Korea, Republic of)
Chanwoong Jung, Kyungpook National Univ. (Korea, Republic of)
Cheol-Su Kim, Kyungpook National Univ. (Korea, Republic of)
Jae Hoon Shim, Kyungpook National Univ. (Korea, Republic of)
Minho Lee, Kyungpook National Univ. (Korea, Republic of)

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