Innovations in Wireless Sensor-Based Human Activity Recognition

Dear Colleagues,

Human activity recognition (HAR) technology aims to identify the activities and interactions of human subjects through their motions, actions, and behavioural patterns. Wireless-sensor-based human activity recognition has become a vibrant research domain and attracted significant attention due to its broad applications, which range from animation, gaming, and sports to well-being, healthcare, assisted living, monitoring, home automation, energy-efficient buildings, and smart environments. Although wireless-sensor-based human activity recognition has been widely investigated with multiple modalities of sensors and a variety of modern sensing technologies, the development of  accurate and robust human activity recognition systems still faces many challenges, including overcoming the low accuracy/sensitivity of sensors, low-information data, the lack of continual learning capability, the complexity of multi-module, multi-modality data fusion, hierarchy of activities, and privacy issues.

Recent breakthroughs in materials, architectures, and fabrications in wireless sensors as well as in wireless sensing technologies have enabled researchers to develop more accurate and robust human activity recognition systems and corresponding emerging applications. These systems may be used for both individual activities and group activities.

This Special Issue will focus on recent innovations in wireless sensors, sensing systems, and sensing technologies advancing human activity recognition technology. Both original research papers and reviews are welcome.

Dr. Qingquan Sun
Dr. Jiang Lu
Dr. Xin Liu
Prof. Dr. Xinlin Huang
Guest Editors

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