在设计教育方面，培养跨学科的服装设计人才是新时代教育趋势的重要组成部分，这种趋势是响应新文科建设背景下社会各方对创新和创新思维的需求而产生的。服装设计不仅要回应社会的需求和关切，更要力求为人类生活方式的优化转型做出贡献。本书为读者提供了一种基于多学科交叉融合的服装创新设计新策略即:Design Plus X（DPX）设计方法，X代表了非设计领域的知识集合。设计与跨学科的综合集成将为服装设计师打通学科间的屏障，同时将新的知识框架和愿景带入服装设计教育领域。本书一方面就知识科学驱动智能服装设计展开深入的设计理论研究; 另一方面将服装与电子信息技术、传感器技术、纺织科学等相关领域的前沿技术相结合，展开翔实的智能服装设计实务案例解析。本书可供服装设计专业师生及爱好者参考阅读。

中国香港理工大学纺织与制衣系硕士，日本北陆先端科学技术大学院大学知识科学博士。大连工业大学服装学院院长，教授，博士研究生导师。中国服装设计师协会学术委员会理事，教育部学位中心研究生论文评审专家，中国国际教育学会高级研究员，时尚产业人才成长联盟高校数字艺术专业委员会理事，国际学术期刊JournalofGlobalTourismResearch 特邀编辑。主要研究方向：数字化服装、智能纺织品与服装面料创新设计、跨学科教育研究。

Chapter 1
Introduction

1.1 Research Background
1.1.1 The Demand Trends in the Fashion Market
1.1.1.1 The Future of Fashion
1.1.1.2 Existing Wearables and Smart Clothing Market Landscape and
Market Size
1.1.2 The Current Situation of Fashion Design Education
1.1.3 Summary
1.2 Research Questions
1.3 Research Aim
1.4 Scope of Research
1.4.1 Knowledge Science
1.4.2 Fashion Design
1.4.3 Smart Clothing Design
1.4.4 Smart Technology
1.5 Research Methods
1.6 Research Contributions
1.7 Structure of the Thesis

Chapter 3
Create New Thinking Approach for the Fashion Design Education Field

3.1 Design Plus X: An Interdisciplinary Thinking
Approach to Education Strategy in Fashion Design
3.1.1 Design Plus Humanities and Sociology
3.1.2 Design Plus Management
3.1.3 Design Plus Technology
3.2 Design Practice Process of "DPX"
3.2.1 Workshop 1: Market
3.2.2 Workshop 2: Product
3.2.3 Workshop 3: Technology
3.2.4 Workshop 4: Prototype
3.3 Keeping the Process of "DPX" Alive
3.4 Summary

Chapter 4
The DPX Case Studies in Fashion Design Education: New Strategy for Interdisciplinary Practical Education with Specific Focus on Smart Clothing

4.1 Case Study 1
4.1.1 Research Introduction
4.1.2 Research Questions
4.1.2.1 The Comfort of Clothing
4.1.2.2 Quantitative Research on the Comfort
4.1.2.3 The Comfort in Infant Clothing Design
4.1.2.4 Definition of Research Questions: the Conflict Between the Comfort
and Accuracy
4.1.3 The Traditional Solution
4.1.4 The Solution of the Project
4.1.5 Experimental Design
4.1.5.1 Measuring Body Temperature
4.1.5.2 Machine Learning Framework
4.1.5.3 Feature Design
4.1.5.4 Training
4.1.5.5 Testing
4.1.6 Experimental Results
4.1.7 Summary
4.2 Case Study 2
4.2.1 Research Introduction
4.2.2 Technical Support
4.2.2.1 Working Theory of the Sensor
4.2.2.2 Working Theory of the Temperature Controller
4.2.2.3 Working Theory of a Color Sensor
4.2.2.4 Technical Support for Embedding Design
4.2.3 Experimental Design
4.2.3.1 Relationship Diagram of the Main Components of the System
4.2.3.2 Specific Control Procedure Flow
4.2.3.3 Process Flowchart
4.2.3.4 Temperature Setup
4.2.4 Color- and Temperature-recognition Experiments
4.2.5 Analysis of the Experimental Results
4.2.6 Summary

Chapter 5
Discussions and Conclusions

5.1 Research Discussions
5.2 Research Conclusions
5.2.1 Research Contributions
5.2.1.1 Research Contribution 1
5.2.1.2 Research Contribution 2
5.2.2 Suggestions for Further Research

Reference
Acknowledgements