A real-time gesture recognizer based on dynamic programming

A.I. Tew, C.J. Gray
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引用次数: 12

Abstract

Coded gestures are physical movements to which precise meanings have been attached. Their use with an electronic pointing device potentially increases the power of the pointer by allowing several distinct control functions to be incorporated. The formation of a coded gesture is invariably subject to distortions which make its automatic recognition difficult. After particular consideration of three techniques, a dynamic programming algorithm was developed and was used in the design of a real-time gesture recognizer that allows mouse-driven software to be operated purely by means of an electronic pointer. The decision was taken to implement the gesture recognizer using a widely available, obsolescent microcomputer in order to keep down costs. Despite the inevitable technical compromises in this approach, results of preliminary trials using 10 normal subjects show an average gesture recognition rate of 98.3% and a gesture confusion rate of only 0.4%.

基于动态规划的实时手势识别系统
编码手势是带有精确含义的物理动作。它们与电子指向设备一起使用,通过允许合并几种不同的控制功能,潜在地增加了指针的功率。编码手势的形成总是受到扭曲,这使其难以自动识别。在特别考虑了三种技术之后,开发了一种动态规划算法,并将其用于实时手势识别器的设计,该识别器允许纯通过电子指针操作鼠标驱动的软件。为了降低成本,决定使用一种广泛使用的过时的微型计算机来实现手势识别器。尽管这种方法在技术上存在不可避免的妥协,但对10名正常受试者进行的初步试验结果显示,平均手势识别率为98.3%,手势混淆率仅为0.4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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