gesture recognition

The vision based gesture recognition technology is a hot research topic.

基于视频图像的手势识别技术一直是人们关注的热点。

Character Gesture Recognition Algorithm Based on Structure Classification

结构分类的字母手势识别算法

This paper presents a novel human-computer interaction for-distance operation based on gaze tracking and gesture recognition.

提出一种新的基于视线跟踪和手势识别的交互方式用于远距离操作计算机.

TS and ITS are applied to training HMM for dynamic gesture recognition.

分别用TS及ITS训练隐马尔可夫模型进行动态手势识别。

Hidden Markov model ( HMM) is a statistical pattern recognition method that is extensively used in speech and gesture recognition.

隐马尔可夫模型（HMM，Hidden Markov model）是语音识别和手势识别中广泛使用的统计模式识别方法。

3D Gesture Recognition& A New Interactive Input Technology

一种交互输入新技术&三维手势识别

Presents a hand tracking and gesture recognition algorithm for human-computer interaction with two web cameras.

为实现基于手势的智能 人机 交互,提出了一种基于视觉的人手跟踪与手势识别算法.

Since the Hidden Markov models ( HMM) can be related to space and time model, it can be suitable for dynamic gesture recognition.

由于隐式马尔科夫链（HMM）可以同时对空间和时间相关关系建立模型，适用于动态手势识别。

Hand Gesture Recognition in Human-Machine Interaction Based on Independent Component Analysis

基于ICA的人机交互手势的识别

Research of Gesture Recognition and Interaction Model Based on Three Dimensional Accelerometer

基于三维加速度传感器的手势识别及交互模型研究

Gesture recognition involves pattern recognition, digital image process, recognition science.

手势识别涉及模式识别、图像处理、认知科学等领域。

Study and Application of Gesture Recognition in Virtual Maintenance Simulation

虚拟维修仿真中手势识别的研究与应用

It finds applications in various areas, such as face detection, face recognition, gesture recognition, expression recognition, face image compression and reconstruction, and face cartoon.

它可广泛应用于人脸跟踪、人脸识别、姿态识别、表情识别、头部像压缩及重构、脸部动画等领域。

Hand gesture recognition has become one of the key techniques of human-computer interaction HCI.

手势识别已成为 人机 交互技术的关键之一.

Hand gesture recognition technology is one of the most important research areas of visual recognition.

手势识别技术是视觉识别中一个重要的研究方向。

For performance evaluation, this paper applied proposed method to a real-time hand gesture recognition system.

最后将算法应用到了一个实时手势识别系统来验证其性能。

It has the functions for controlling the attributes of video source and the format of image captured, setting the rates of frame, as well as real-time hand gesture recognition and non-contact hand gesture control.

该系统具备控制视频源属性、获取图片格式、设置视频帧速率等功能，可以实时进行手势识别和非接触性手势控制。

Because Microsoft is allegedly adding gesture recognition to the next generation of Nokia's Lumia smartphone.

日前，微软据称要在新一代诺基亚流光溢彩系列手机加入智能识别手势功能。

The vision based gesture recognition is an important part of new generation Human-Computer Interface.

基于视觉的手势识别技术是新一代人机交互的重要内容。

This work is impressive not just because they're using biofeedback to control the devices, instead of optical or other kinds of gesture recognition, but also because of how specific the controls can be, setting up a range of different potential applications for this kind of remote tech.

这个操作让人印象深刻，不仅是因为它利用生物反馈控制设备，代替了光学或其他类型的手势识别，还因为控制的精细程度，为这种远程技术创造了一系列潜在的应用方式。

Thus the research on gesture recognition has become a hot for recent years.

因此，对手势识别的研究成为近几年的研究热点。

Dynamic Hand Gesture Recognition Based on Optical Flow

基于光流的动态手势识别

The main gesture recognition approaches can be listed as visual based, surface Electromyography ( sEMG) based and accelerometer ( ACC) based gesture classification methods.

目前主要的识别途径可以分为基于视觉的手势识别以及基于表面肌电信号和加速计的手势识别方式。

Dynamic Hand Gesture Recognition Based on Optical Flow and Coupled Hidden Markov Model

基于光流及耦合隐马尔可夫模型的动态手势识别

Compared with general methods, the biggest characteristic of this method is its invariant in rotation. Real-time gesture recognition can get rid of interruption in revolving images. Thus develop the robustness of hand gesture recognition.

与一般方法相比，采用这种方法识别的手势最大特点是具有旋转不变性，实时的手势识别可以在旋转的图像中摆脱干扰，增强了识别的鲁棒性。

Gesture Recognition Algorithm Based on Invariant Moment and Edge Detection

应用几何矩和边缘检测的手势识别算法

Pedestrian segmentation of static image can be applied to many applications, such as image compression, image editing, image searching, pedestrian gesture recognition and criminal forensics.

静态图像的行人分割有着广泛的应用前景，如图像的压缩、图像的编辑、图像的检索、行人姿态识别以及犯罪取证等。

Hand gesture recognition is nature and simple for communication.

基于人手的动作识别与跟踪具有自然、直观、不需要中间媒介等特点，近年来手势识别与跟踪一直是人机交互领域的研究热点。