CACM September 2018 - Emotion Recognition Using Wireless Signals
3,339 views · Published 4 September 2018 · 4:49 · Indexed 20 September 2026
Channel: Association for Computing Machinery (ACM) · 2018 · Science & Technology
In this video, Dina Katabi and Mingmin Zhao discuss "Emotion Recognition Using Wireless Signals," a Research Highlights article in the September 2018 Communications of the ACM about research that demonstrates a new technology that can infer a person's emotions from RF signals reflected off his body. EQ-Radio transmits an RF signal and analyzes its reflections off a person's body to recognize his emotional state (happy, sad, etc.). The key enabler underlying EQ-Radio is a new algorithm for extracting the individual heartbeats from the wireless signal at an accuracy comparable to on-body ECG monitors. The resulting beats are then used to compute emotion-dependent features which feed a machine-learning emotion classifier.
More from this channel
-
0:30
Challenges and opportunities for technology in foreign language classrooms
-
0:31
LongPad
-
0:30
The effects of tactile feedback and movement alteration on interaction and awareness with digital...
-
0:31
Understanding the privacy-personalization dilemma for web search
-
0:33
KINECT wheels: wheelchair-accessible motion-based game interaction
-
0:31
SIGCHI extended abstracts: gravity of light
-
0:30
Complementing Text Entry Evaluations with a Composition Task
-
0:31
Performativity in Sustainable Interaction: The Case of Seasonal Grocery Shopping in EcoFriends