Recognition of Lao sentence sign language using kinect sensor

Vimonhak Sombandith, A. Walairacht, S. Walairacht
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引用次数: 3

Abstract

This paper presents a technique for recognition Lao sentence sign language by using a Kinect sensor. By using Kinect sensor, feature joint positions of human body can be tracked. After that the joint angles between each pair of joint vectors of adjacent joint positions are measured. When the user perform a series of posture representing a simple sentence of Lao sign language, the system records joint angles that is significantly changed from one posture to another posture. Feature joint angles stored in the database is used to recognition the testing sentence's posture. The recognition rate of about 75% is achieved from the experiments performed 10 simple sentences of Lao sign language.
基于kinect传感器的老挝语句子手语识别
本文提出了一种基于Kinect传感器的老挝语句子手语识别技术。通过Kinect传感器,可以跟踪人体的特征关节位置。然后测量相邻关节位置的每对关节向量之间的关节角。当用户做出一系列代表老挝语简单句子的姿势时,系统会记录关节角度,从一种姿势到另一种姿势的明显变化。使用数据库中存储的特征关节角度来识别测试句的姿态。通过对老挝语10个简单句的实验,达到了75%左右的识别率。
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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