南京大学计算机软件新技术国家重点实验室

摘 要：

RF-based activity recognition (the utilization of perturbations in RF signal strength and Frequency due to movement of objects and subjects) has been an active research topic for about a decade now. The field has mostly matured and diverse approaches (e.g. utilizing time-domain, Frequency-domain, phase, or Fresnel effect) as well as useful tools (Frequency Modulated Continuous Wave (FMCW), synthetic aperture radar, Radio holography, ...) have been discussed. Still, the field holds numerous open challenges, such as accurate multi-subject activity and gesture recognition, privacy concerns, tailored data processing toolchains, or sensor mobility. The talk will summarize and bridge from the early results in RF-based activity recognition, over notable achievements and applications to ongoing research direction and open issues.

报告人简介:

Stephan Sigg is an Assistant Professor at Aalto University in the Department of Communications and Networking. His research interests include the design, analysis and optimisation of algorithms for distributed and ubiquitous systems. Especially, his work covers proactive computing, distributed adaptive beamforming, context-based secure key generation and device-free passive activity recognition.

时间：8月27日  9:00-10:00

地点：计算机科学技术楼221室