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A method of emotion recognition based on wifi signal

A technology of emotion recognition and emotion, applied in the field of emotion recognition based on WiFi signals, to achieve the effects of high multipath resolution, high sensitivity, wide perception, and high capture ability

Active Publication Date: 2020-01-17
上海百芝龙网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this solution requires the user to wear an ECG device in order to be able to detect the user's inner emotions

Method used

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  • A method of emotion recognition based on wifi signal
  • A method of emotion recognition based on wifi signal
  • A method of emotion recognition based on wifi signal

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Experimental program
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Embodiment Construction

[0038] The WiFi technology based on the 802.11n protocol adopts the MIMO-OFDM system, and the tool software provided by Daniel Halperin of the University of Washington can obtain 30 subcarriers in a wireless communication channel. All you need is a Wi-Fi router and a remote server for processing emotion recognition, and you can check your own emotion recognition on your mobile phone, computer and other devices. You can also directly run the emotion recognition project on your mobile phone or PC, and view the recognition results in real time on similar terminal devices. Wi-Fi emotion recognition device see figure 1 .

[0039] The Wi-Fi technology based on the 802.11n protocol adopts the MIMO-OFDM system (MIMO is Multiple-Input Multiple-Output, multiple input multiple output; OFDM is Orthogonal Frequency Division Multiplexing, orthogonal frequency division multiplexing technology), provided by Daniel Halperin of the University of Washington The tool software can obtain 30 subc...

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Abstract

An emotion recognition method based on WiFi signals, comprising steps: A1, collecting wireless signals sent by WiFi routers under different emotions; A2, extracting CSI signals from wireless signals; A3, processing, modeling, and extracting CSI data Ventricular fluctuation curve, atrial fluctuation curve and respiratory fluctuation curve; A4, extract the emotional fluctuation curve and perform cluster analysis; A5, identify inner emotions through deep learning; A6, return to step A4 for iterative analysis according to the accuracy rate of the actual measurement.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, in particular to an emotion recognition method based on WiFi signals. Background technique [0002] With the rapid development of artificial intelligence and robots, the demand for user emotion recognition in human-computer interaction is becoming more and more intense. Most emotion recognition uses computer vision algorithms to recognize facial emotions through camera devices, but this solution has a lot of problems. Due to the limitations, it is often unable to recognize the user's inner emotions. For example, computer vision detects that a person's face is smiling, and it is judged that the person is happy, but some such "smiling states" are negative, which may be contempt, helplessness, or habitual calm. [0003] In recent years, some researchers have proposed to use ECG (electrocardiogram) to identify facial emotions, and to identify people's happiness, joy, anger, sadness a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/16G06K9/00H04B17/30H04W24/08
CPCA61B5/165H04B17/30H04W24/08G06F2218/06G06F2218/10G06F2218/12
Inventor 叶伟
Owner 上海百芝龙网络科技有限公司