Special Session
Low-Power Wireless Sensing for Human-Centric Applications
Emerging human-centric applications increasingly require sensing systems that operate continuously under tight constraints on power, computation, form factor, and communication. At the same time, real-world deployment introduces challenges in sensing robustness, environmental variation, generalization across users and environments, privacy, and system integration. Addressing these challenges requires joint advances across sensing hardware, signal processing, embedded intelligence, and machine learning.
Abstract: Low-power wireless sensing is emerging as a key enabling technology for healthcare, smart environments, wearable computing, human–computer interaction, robotics, and human-centric AI. Recent advances in mmWave radar, WiFi, UWB, acoustic and ultrasonic sensing, and other sensing technologies enable rich information about human activities, behaviors, interactions, and physiological states in a contactless and privacy-aware manner. This Special Session will bring together researchers working across sensing hardware, signal processing, embedded systems, and AI to explore recent advances in low-power wireless sensing for human-centric applications. Particular emphasis will be placed on compact, energy-efficient, intelligent, and deployable sensing systems, while remaining open to broader advances in wireless and contactless human sensing. The session will also discuss how emerging edge AI and learning-based approaches can transform low-level sensor measurements into meaningful representations of humans and their interactions with the physical world.