Hussain Dawood;Ghassan F Issa;Amit Kumar Jain;Shikha Sharma;Nikhil Kumar Goyal
Synopsis "Heterogeneous Integration in E-Textiles"
Wearable technology is becoming increasingly sophisticated, necessitating parallel advancements in the textile platforms that support it. The proliferation of smart healthcare systems and interconnected devices has accelerated demand for e-textiles capable not only of sensing physiological and environmental signals but also of processing and transmitting data in real time. These next-generation systems integrate flexible electronics, embedded sensors, wireless communication modules and artificial intelligence (AI) directly into textile architectures. Recent developments in heterogeneous integration and edge AI have further enhanced the capabilities of wearable technologies, enabling devices that are lighter, more energy efficient, and highly adaptive to individual users. The implications of these innovations extend well beyond healthcare, with applications in education, defense, industrial monitoring, and more. However, realizing the full potential of intelligent wearable systems requires addressing several critical engineering challenges, including power management, data security, and the scalability of manufacturing processes necessary for widespread commercial adoption. Heterogeneous Integration in E-Textiles: Flexible Electronics and Edge AI for Wearable Intelligence provides a comprehensive understanding of heterogeneous integration techniques used in e-textiles and wearable intelligence systems, bridging textile engineering, electronics, embedded systems, AI, and IoT technologies. By connecting flexible and stretchable electronics with sensor integration, edge AI, and TinyML applications, this book equips readers to address the real-world challenges of energy efficiency, durability, privacy, and sustainability in wearable systems. Covering topics such as chronic diseases, real-time communication, and wearable sensors, this book is an indispensable academic resource for graduate and doctoral students, textile and electronics engineers, embedded systems and IoT researchers, healthcare technology developers, sports scientists, fashion technologists, product designers, and more.
