RFexpress! - Exploiting the wireless network edge for RF-based emotion sensing
Muneeba Raja, Stephan Sigg

TL;DR
RFexpress! leverages wireless network edge devices to recognize human emotions from RF signal fluctuations, enabling real-time environmental perception and activity recognition in diverse, noisy settings without intrusive sensors.
Contribution
This work introduces the first system for emotion recognition from RF signals at the network edge, demonstrating its effectiveness in real-world environments and various application scenarios.
Findings
Achieved up to 82.9% accuracy in vehicular settings.
Successfully distinguished neutral and agitated emotional states.
Identified critical SNR thresholds for reliable recognition.
Abstract
We present RFexpress! the first-ever network-edge based system to recognize emotion from movement, gesture and pose via Device-Free Activity Recognition (DFAR). With the proliferation of the IoT, also wireless access points are deployed at increasingly dense scale. in particular, this includes vehicular nodes (in-car WiFi or Bluetooth), office (Wlan APs, WiFi printer or projector) and private indoor domains (home WiFi mesh, Wireless media access), as well as public spaces (City/open WiFi, Cafes, shopping spaces). Processing RF-fluctuation at such edge-devices, enables environmental perception. In this paper, we focus on the distinction between neutral and agitated emotional states of humans from RF-fluctuation at the wireless network edge in realistic environments. In particular, the system is able to detect risky driving behaviour in a vehicular setting as well as spotting angry…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSpeech and Audio Processing · Indoor and Outdoor Localization Technologies · Emotion and Mood Recognition
