Special Session I 会议专题
Session II: Indoor Wireless Sensing: Recent Advance
Indoor wireless sensing using the change of the RF signal to perceive the environment and the target state, through the acquisition of data processing, can get the layout of the room, the location of the object, such as the type of target information, since it has the advantages of high confidentiality, all-weather, full-time testing, to cause the attention of many scholars in the field of wireless sensor. Research in the field of indoor wireless sensing can bring the way humans perceive the physical world to a new stage, which can be used not only in the field of human detection, but also in the creation of advanced human-computer interaction methods. In addition, in terms of smart medical monitoring, it can help detect the sleep quality of the elderly as well as accidental falls. This workshop is based on different wireless signals for information processing. Meanwhile, the application scenarios include but are not limited to vital sign monitoring, human activity recognition, target positioning and tracking, human gesture recognition, etc. It aims to summarize the current work of scholars in the field, share the latest advances and applications, and even innovative ideas and concepts.
Submission link: https://www.zmeeting.org/submission/ictce2023-specialsession2
Potential topics of interest include but are not limited to:
- Radar based human activity recognition
- Indoor target tracking for radar systems
- Vital-sign monitoring with radar/Wi-Fi
- Through-the-wall radar
- Fall detection based on radar/Wi-Fi
|Prof. Yong Jia, Chengdu University of Technology, China
Yong Jia received the B.E. degree in electronic information engineering from Shandong Normal University, Jinan, China, in 2007, and the M.E. degree in information and communication engineering and the Ph.D degree in signal and information processing from University of Electronic Science and Technology of China, Chengdu, China, in 2010 and 2014, respectively. He is currently a Professor with the School of Mechanical and Electrical Engineering, Chengdu University of Technology, Chengdu, China. From February 2013 to August 2013, he was a visiting scholar with the College of Engineering, Villanova University, PA, USA. His research interests include through-the-wall radar, radar based NLOS target detection and artificial intelligence. He was a Reserve candidate for Academic and Technical Leader of Sichuan and a recipient of the first prize of Sichuan Science and Technology Progress Award. He was the Regional Chair of Chengdu for ICSIP 2021 and ICSIP 2023.
|Associate Research Fellow Shisheng Guo, University of Electronic Science and Technology of China, China
Shisheng Guo received the B.S. degree in communication engineering from the Nanchang Hangkong University, Nanchang, China, in 2013, and the Ph.D. degree in signal and information processing from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2019. He is currently an Associate Research Fellow with the School of Information and Communication Engineering, UESTC. His research interests include through-the-wall radar and radar based NLOS target detection. He is a member of IEEE, the TPC member of ICCAIS 2023, the Session Co-chair of ICAUS 2021, ICAUS 2023, ICFEICT 2023, APSIPA ASC 2023 and 2019 ICCAIS.
|Dr. Qiang An, The Fourth Military Medical University, China
Qiang An received the B.E., M.S., and Ph.D. degrees from the Fourth Military Medical University in 2012, 2015, and 2019, respectively. He worked at the Antenna Research Laboratory, Center for Advanced Communication, Villanova University, Villanova, PA, USA, as a Joint Training Ph.D. Student from February 2017 to September 2018. He is currently a Lecturer of the Fourth Military Medical University. His research interests include electromagnetic inverse scattering, radar imaging, and compressive sensing. He has published more than 20 peer-reviewed scientific papers in journals including IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Antennas and Propagation, Radio Science, IEEE Sensors Journal, etc. the 333 high level talent training project of Jiangsu Province in 2021.