Emotion recognition using wireless signals
Name
eqradio-paper.pdf
Description
Accepted version
Size
526.62 KB
Format
Adobe PDF
Checksum (MD5)
979298442a9bd7e1d644d446395dd2f9
Author(s)
Zhao, Mingmin
Adib, Fadel
Katabi, Dina
Date Issued
August 2018
Journal
Communications of the ACM
Publisher
Association for Computing Machinery (ACM)
Citation
Zhao, Mingmin et al. "Emotion recognition using wireless signals." Communications of the ACM 61, 9 (August 2018): dx.doi.org/10.1145/3236621 © 2016 Tbe Authors
Version
Author's final manuscript
Abstract
This paper 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. We describe the design and implementation of EQ-Radio, and demonstrate through a user study that its emotion recognition accuracy is on par with state-of-the-art emotion recognition systems that require a person to be hooked to an ECG monitor.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3236621
