摘要：随着人工智能技术的迅速崛起，体感设备在计算机视觉、虚拟现实、互动游戏等领域得到广泛的应用。本课题是通过xbox上的Kinect传感器来捕获人的手势动作，将一系列手势动作通过手势分析技术分割成若干个基本手势动作，利用可见光图像和红外数据实时计算每个基本手势动作的运动轨迹、速度、加速度等参数，并根据这些基本手势动作的组合序列识别出该手势动作，从而可以针对识别出的手势做出相应的处理。以音乐指挥手势为例对本文方法进行了实验验证，通过跟踪和识别指挥手势，控制不同乐器发出不同节奏、不同音量、不同延续时长的声音，因此验证了本文算法的有效性。69506

毕业论文关键词：Kinect传感器；跟踪和识别手势；手势分析技术；

 Design of gesture tracking and recognition algorithm based on Kinect

Abstract: With the rapid development of artificial intelligence technology, somatosensory devices have been widely used in computer vision, virtual reality, interactive games and other fields. This topic is a gesture to capture by Kinect sensor Xbox, a series of technical gestures are pided into several basic gesture analysis through gestures, trajectory, using visible light image and infrared data real-time calculation of each basic gesture speed, acceleration and other parameters, and according to the recognition sequence of these basic the gesture of the hand gesture, which can make the appropriate treatment according to the identified gestures. With music commanding gesture as an example for the experimental verification of the method in this paper, through tracking and identifying command gestures, control of different instruments in a different rhythm, different volume and different extended length of sound, thus verify the effectiveness of the proposed algorithm.

Keywords: Kinect sensors; tracking and identification of gestures;gesture analysis techniques; 

目录

摘要 i

Abstract ii

1 绪论 1

1.1 课题研究背景 1

1.1.1 课题研究目的 1

1.1.2 课题研究意义 1

1.2 国内外研究现状 1

1.2.1 SPRING算法 1

1.2.2 改良SPRING算法 2

1.3 课题创新点 3

1.3.1 手部跟踪 4

1.3.2 手势的识别 4

1.3.3 手势动作元素的应用 4

1.3.4 数据采样与分析 4

2 基于Kinect的手势跟踪与识别算法 5

2.1 算法原理 5

2.1.1 数据的采样与分析 5

2.1.2 手势识别 9

2.2 算法设计