Human Activity Detection and Recognition

Dear Colleagues,

Systems for human activity detection and recognition are becoming more and more sophisticated everyday. On the one hand, many different kinds of sensors for human action acquisition and tracking are available, ranging from conventional vision-based solutions (RGB, depth, and multi-view cameras) to wearable devices (smart watches and phones or more specific comercial IMU-based sensors for movement tracking) and including many other kinds of IoT devices. On the other hand, the number of proposed techniques for data processing and analysis is increasing everyday. In particular, newer approaches using deep learning and classical machine learning techniques are gaining significant interest. It is also worth noticing that the new situation derived from the Covid-19 pandemic has raised the necessity of physical telerehabilitation systems or tools to control social distance. This Special Issue is intended to present a collection of scientific papers that represent the current state of the art of methods and sensors for the detection, tracking, and recognition of all forms of human activity.

Dr. Mario Martínez-Zarzuela
Dr. David González Ortega
Guest Editors

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