基于增强现实的适老化交互设计研究

　　震颤是常见的运动障碍性疾病，表现为手、头部及身体其他部位不自主性、节律性、振动性运动。由震颤疾病产生的各种功能障碍会长期困扰着震颤患者行走以及和计算机、家用电器等设备的交互，严重影响患者的生活质量。震颤的发生机理至今尚未明确，病因难以确定，且面临着临床治愈率低、副作用大等问题。使用阻尼器械和功能电刺激来物理地抑制肢体震颤的手段，在使用中易引起身体疲劳和疼痛等问题。
　　《基于增强现实的适老化交互设计研究（英文）》提出并验证了AR技术对辅助震颤患者在键盘和环境交互方面的有效性和可行性。相较于传统医疗和物理抑颤手段，《基于增强现实的适老化交互设计研究（英文）》提出的技术手段具有对震颤患者身体无伤害。且支持人机交互的优势。

王凯，毕业于日本大阪大学基础工学研究科智能系统科学专业，现为武汉理工大学讲师、硕士生导师。研究方向包括增强现实、人机交互、人工智能。主持重量项目2项，发表SCI 1区论文2篇。

Chapter 1 Introduction
l．1 Tremor
l．2 Traditional Tremor-Assist Technology
l．3 Augmented Reality Based Tremor-Assist Technology
l．4 Discussion of Tremor-Assist Technology
Bibliography

Chapter 2 Virtually Stabilizing Trembling Hands Using Projection Augmented Reality
2．1 Introduction and Motivation
2．2 Related Work
2．3 System
2．4 Method
2．4．1 Virtual Stabilization
2．4．2 Virtual Remapping
2．4．3 Procedure
2．5 Experiment
2．5．1 Experimental Setup
2．5．2 Evaluation
2．5．3 Discussion
2．6 Conclusion
Bibliography

Chapter 3 Visually Stabilizing Trembling Hands Using Optical See．Through Augmented Reality
3．1 Introduction and Motivation
3．2 Related Work
3．3 Pilot Research
3．3．1 Pilot System
3．3．2 Hand Modeling
3．3．3 Geometric Transform
3．3．4 Stabilized Filter
3．3．5 Release and Testing
3．4 System
3．5 Method
3．5．1 Calibration
3．5．2 Synchronization
3．5．3 Tremor Analysis and Stabilization
3．5．4 Procedure
3．6 Experiment
3．6．1 Experimental Setup
3．6．2 Evaluation
3．6．3 Discussion
3．7 Conclusion
Bibliography

Chapter 4 Expending Reachable Range of Trembling Hands Using Stabilized Projection Augmented Hand
4．1 Introduction and Motivation
4．2 Related Work
4．3 “Extended Hand”
4．4 Method
4．4．1 Movement Stabilization of EH
4．4．2 Gesture Stabilization of EH
4．5 Experiment
4．5．1 Experimental Setup
4．5．2 Results
4．5．3 Discussion
4．6 Application
4．7 Conclusion
Bibliography

Chapter 5 Discussion and Conclusion
S．1 General Discussion
5．2 Limitations and Future Work
5．3 Conclusion
Bibliography

　　Augmented Reality （AR）， a technology that displays virtual information directly into real-world environment， has been wildly applied in many fields， such as entertainment， manufacturing， and education. In recent years， AR has been explored to help visually impaired and hearing-impaired people. However， AR has rarely developed to support other impaired persons. This book mainly introduces my researches on AR based tremor-assist technologies. Many novel AR technologies are studied to support hand impaired persons in Human-Computer Interactions （HCI） and Computer-Mediated Communication （CMC）.
　　Hand tremors are featured with involuntary shaking of hands， which reduce the level of hand capability to perform intentional activities. With widespread use of computers and touching panels， typing or touching becomes very common interactive way to access devices. However， it is difficult for individuals with hand tremors to type or touch devices， especially which have small densely placed targets， like keyboard. Traditional approaches that help trembling hands exist some limitations， including body burdens， muscle fatigues， non-application of ordinary device， and rarely solve the problems of HCI and CMC of trembling hands. Therefore， I investigate approaches to facilitate individuals to use their trembling hand to directly interact with ordinary devices. I focus on two critical issues of hand tremors in HCI and CMC， and develop AR technologies to enhance individual with tremors in keyboard typing and reaching. These researches are reiterated over and discussed in the following chapters.
　　Chapter 1： Introduction. This chapter introduces tremors， especially two typical hand tremor features found； and discusses traditional tremor-assist technologies including medical treatments， "mechanical suppression" technologies， "functional electric stimulation suppression" technologies， and "active suppression" technologies； finally outlines my researches on AR based tremor-assist technologies.