时间：2026年7月16日星期四16:00-17:00
地点：无线谷A1208
题目：Radar Techniques for Human Activity Recognition and Applications
摘要：
Low-cost solutions for high-frequency components and novel packaging solutions combined with advanced production processes have led to the development of affordable radar sensors. Today, modern radar sensors are ubiquitous and can be found in many situations in everyday life, where one would not have expected them just a few years ago. Low-cost radar sensor solutions have not only led to major advances in autonomous driving and Industry 4.0, but have also opened up numerous new applications in the field of human activity recognition. Application areas of human activity recognition include remote health assessment, smart home, smart surveillance, human-computer interaction, sports, autopilots, and social robotics, to name a few.
This presentation deals with human activity recognition using radar sensing techniques. The talk spans an arc from wave propagation in the presence of human activities to modern time-frequency signal analysis and processing techniques up to machine and deep learning methods. The presentation will focus on two paradigm shifts that allow an efficient design of human activity recognition systems. The first paradigm shift leads to new classes of channel models whose input signals are time-variant trajectories of human body segments. Several methods will be discussed how trajectories of human body segments can be measured, modelled, and simulated. The second proposed paradigm shift enables a shift from the traditional experimental-based design methodology to a simulation-based design concept for the design of human activity recognition systems. Solutions are discussed that enable almost 100 percent correct recognition of human activity, regardless of the user's direction of movement. The new simulation-based design concept will be illustrated by animations for several scenarios, including activities of daily living (falling, walking, sitting down, standing up), gait analysis, and diverse sport activities for elderlies.
演讲人：Matthias Pätzold, University of Agder
Matthias Pätzold received the Dipl.-Ing. and Dr.-Ing. degrees in electrical engineering from Ruhr University Bochum, Bochum, Germany, in 1985 and 1989, respectively, and the Habilitation degree in communications engineering from the Hamburg University of Technology, Hamburg, Germany, in 1998. From 1990 to 1992, he was with the ANT Nachrichtentechnik GmbH, Backnang, Germany, where he was involved in digital satellite communications. From 1992 to 2001, he was with the Department of Digital Networks, Hamburg University of Technology, Hamburg. Since 2001, he has been a Full Professor of Mobile Communications with the University of Agder, Grimstad, Norway. He has authored several books and numerous technical articles. Dr. Pätzold’s publications was the recipient of the 14 Best Paper awards. He has been actively participating in numerous conferences as a TPC member and a TPC chair.
