In:
Communications of the ACM, Association for Computing Machinery (ACM), Vol. 61, No. 9 ( 2018-08-22), p. 91-100
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.
Type of Medium:
Online Resource
ISSN:
0001-0782
,
1557-7317
Language:
English
Publisher:
Association for Computing Machinery (ACM)
Publication Date:
2018
detail.hit.zdb_id:
80254-2
detail.hit.zdb_id:
2004542-6
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