Abstract: 

Indoor human perception and sensing technology utilizes advanced sensing methods to understand and interact with human activities and indoor environments. By leveraging various technologies such as radar systems, wireless communication facilities, infrared sensing, and computer vision, this field is capable of accurately sensing indoor information. Key applications of indoor human perception and sensing technology include human detection, tracking, activity recognition, hand gesture recognition, vital sign monitoring, and even more advanced human-computer interactions. Through continuous advancements in sensor technology and data analytics, indoor sensing can play a critical role in city security, smart home and healthcare applications. In detail, this technology can predict the enemy's intention and improve the success rate of the operation. This technology can also enhance elderly care by monitoring sleep quality and fall detection, or improve efficiency by understanding occupancy patterns. Moreover, the ability to map and analyze indoor environments offers opportunities for innovation in both commercial and personal settings, from personalized experiences to optimized resource management. This session explores the latest developments in indoor human perception and sensing, focusing on cutting-edge technologies, practical applications, and challenges faced by researchers. It aims to foster knowledge exchange and inspire new ideas, benefiting both academic research and real-world implementations in city security, smart healthcare, and beyond.

Session Chairs: 

Prof. Hong Hong (Nanjing University of Science and Technology, China), 

Prof. Shisheng Guo (University of Electronic Science and Technology of China, China), 

Assoc. Prof. Dongheng Zhang (University of Science and Technology of China, China), 

Assoc. Prof. Yang Yang (Tianjin University)

Assoc. Prof. Xiaodong Qu (Beijing Institute of Technology, China)