由信息与通信工程学院主办的“信通论坛”本次邀请到代尔夫特大学的Francesco Fioranelli教授进行线上学术交流，具体安排如下，欢迎感兴趣的师生参加。
一、主 题：
Radar approaches for sequential human activity classification
二、主讲人：
Francesco Fioranelli（荷兰代尔夫特大学，助理教授）
三、时 间：2022年12月14日（周三）14:35-15.05
四、参加方式：
线上平台：Zoom
会议链接：https://tudelft.zoom.us/j/99984743283?pwd=SkdGM2VjcXVEZW5xQ3k1ZXYzWXcwQT09
会议ID：999-8474-3283
会议密码：682490
五、主持人：郭世盛 副研究员
六、内容简介：
One of the outstanding challenges in the classification of human activities using radar is the processing of continuous sequences of data, where heterogeneous activities can be mixed and start/finish at random times and with undefined transitions between them. In contrast to the more conventional approaches where activities are inherently collected as separated “snapshots”, processing these continuous sequences requires methods to separate the different activities, group them intro macro-activities if needed, and formulate classification algorithms tailored to represent such data more as a sequence than as separated images. The talk will discuss some of these challenges, and present non-exhaustive examples from recent literature where continuous activities in the context of assisted living and gesture recognition are classified.
七、主讲人简介
Francesco Fioranelli received his Ph.D. degree from Durham University, U.K., in 2014. He is currently a Tenured Assistant Professor at TU Delft in the Netherlands, and was a Lecturer at the University of Glasgow and a Research Associate at University College London.
His research interests include the development of multistatic radar systems and automatic classification for human signatures analysis in healthcare and security, drones and UAVs detection and classification, and automotive radar. He has authored over 130 publications between book chapters, journal and conference papers, and co-edited two books on micro-Doppler and drone signatures.
