Emotion recognition using wireless signals-Reference-Cited by-同舟云学术

Emotion recognition using wireless signals

Published:2016-10-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking
language:
Short-container-title:

Author:

Zhao Mingmin¹,Adib Fadel¹,Katabi Dina¹

Affiliation:

1. Massachusetts Institute of Technology

Funder

Lincoln Laboratory, Massachusetts Institute of Technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2973750.2973762

Reference65 articles.

1. Microsoft project oxford emotion api. https://www.projectoxford.ai/emotion. Microsoft project oxford emotion api. https://www.projectoxford.ai/emotion.

2. Noise robust differentiators for second derivative estimation. http://www.holoborodko.com/pavel/downloads/NoiseRobustSecondDerivative. Noise robust differentiators for second derivative estimation. http://www.holoborodko.com/pavel/downloads/NoiseRobustSecondDerivative.

3. WiGest: A ubiquitous WiFi-based gesture recognition system

4. U. R. Acharya K. P. Joseph N. Kannathal C. M. Lim and J. S. Suri. Heart rate variability: a review. Medical and biological engineering and computing 44(12):1031--1051 2006. U. R. Acharya K. P. Joseph N. Kannathal C. M. Lim and J. S. Suri. Heart rate variability: a review. Medical and biological engineering and computing 44(12):1031--1051 2006.

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