论文总字数：24148字

摘 要

Abstract 5

第一章 绪论 6

1.1 研究背景及意义 6

1.2 国内外研究现状 6

1.2.1 国内基于体感交互系统研究现状 6

1.2.2 国外基于体感交互系统研究现状 7

1.3 论文研究内容及方法 7

1.3.1 论文研究内容与工作 7

1.3.2 研究方法与技术路线 7

1.4 论文组织结构 8

第二章 Kinect基本工作原理 10

2.1 Kinect硬件设备解剖 10

2.2 Kinect工作原理 11

2.2.1 骨骼追踪 12

2.2.2 动作识别 12

2.2.3 人脸识别 13

2.2.4 语音识别 13

2.3 深度成像原理 13

2.2.5 ToF光学测距与结构光测量 14

2.3.2 Light Coding技术 14

2.4 骨骼图生成 15

2.5 本章小结 16

第三章 步态分析 17

3.1 基本步态参数 17

3.1.1 步行周期 17

3.1.2 步长 18

3.1.3 跨步长 18

3.1.4 步速 18

3.1.5 步频 18

3.1.6 步宽 19

3.1.7 足偏角 19

3.2 腿部有残疾患者的步态特征 19

3.2.1 腿部有残疾的人步行周期的特点 20

3.2.2 患侧预承重期 20

3.2.3 患侧单肢体支撑期 20

3.2.4 摆动期异常 20

3.2.5 骨盆运动变化 20

3.2.6 步长短且步行速度慢 20

3.3 本章小结 21

第四章 腿部辅助设备设计 22

4.1 腿部辅助设备机构选择 22

4.2 腿部辅助设备结构设计 23

4.3 总体结构与概念图 24

4.4 自由度设计 24

4.4.1 髋关节自由度选择缘由 25

4.4.2 膝关节自由度选择缘由 26

4.5 驱动器设计 27

4.5.1 驱动方式 28

4.6 其他部件设计 28

4.6.1 关节设计注意事宜 28

4.7 本章小结 28

第五章 基于Kinect的人机交互和界面设计 30

5.1 总体思路 30

5.2 判断身姿是否倾斜具体实现程序 30

5.3 模拟鼠标控制实现 33

5.4 人机交互具体实现方法 34

5.5 本章小结 34

第六章 总结与展望 36

6.2 工作总结 36

6.3 关键创新点 36

6.4 展望 36

致谢 37

参考文献 38

摘要

根据报道，中国在65岁以上的老年人已经达到1.51亿，占到全国总人口的12％，预测到2060年即将突破4.43亿。在最近几年患心脑血管疾病使中老年患者的人数不断增多，而且这些人群大多数伴有偏瘫等腿部疾病，而且越来越年轻化。与此同时，小汽车等交通工具不断地增加，因为交通事故造成的腿部残疾等人肢体损伤的人数也越来越多。随着人均GDP的不断提高，这一类的特殊群体已经得到了越来越多人的关注。为了提高他们的生活水平，我们应该致力于不断提高他们的治疗康复体系和服务于他们的产品的质量。这类人群只能去医院或者特定的康复机构进行训练来增加他们的集体功能康复效果，进而提高他们的生活质量。同时，来来回回的奔波使患者非常的不方便，为了实现这一目标，我们必须要去寻找一些人机交互的装备。

本文以体感交互设备Kinect for Windows为基础，利用人机交互设计将虚拟现实与训练康复系统相结合，帮助腿部残疾患者进行趣味性的康复训练，同时可以结合网络技术再将训练结果和计划反馈给患者，让患者可以按自己的想法修订训练量等参数，加强互动性，体现共同康复共同训练的理念。

残疾人作为一个特殊人群，体感交互设备能够让他们更加热爱生活方便生活。由于时间和精力的局限性，这次所研究的残疾人都是腿部不适人群，多半用轮椅或者其他辅助设备进行行走等活动。

关键词：体感交互，残疾人，步态，训练机

Abstract

It is reported that the number of the elderly over the age of 60 in our country has been 143 million,which accounts for 11% of the country's population, the number will reach 437 million by 2050. Among these old people, cerebrovascular disease and neural system disease has been increasing, and most of these patients get symptoms such as hemiplegia and handicap the inconvenience. In recent years, due to the risk of disease of heart head blood-vessel to rise in the number of middle-aged and old patients with hemiplegia, and showed a trend of getting younger over on age. At the same time, because of the rapid growth of means of transport, the nerve pain caused by traffic accident injury or the number of physical injury is more and more. With the development of national economy, the special group has got the attention of more people, in order to improve their quality of life, treatment, rehabilitation, and in the service of technology and quality of their products are also increase accordingly. Such people can only go to a hospital or specific rehabilitation institutions for training to increase their collective function rehabilitation effect, thus improving their quality of life. The travelling back and forth but itself is very inconvenient, it is necessary to develop some deft rehabilitation training system to assist the populations rehabilitation training at home. In order to achieve this goal, first seek to capture light sensor target dynamic posture.

Body feeling interaction devices based on the new device as the basis, combining virtual reality and training of rehabilitation machine, based on the device of sensor development training for the disabled machine that we can with the help of virtual reality technology through a device sensor and computer, help the disabled to interesting rehabilitation training, and can also be combined with network technology and training results, and plan to feedback to patients, patients can be revised training volume and other parameters by his idea, strengthen the interactivity, embodies the concept of rehabilitation training together.

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