Non-contact type emotion detection method and device

A non-contact, emotional technology, applied in the field of emotion detection, can solve the problems of long output time, high price, limited scene, etc., to achieve the effect of low cost and controllable, easy to use, not limited by the scene

Active Publication Date: 2017-01-04
深圳市科思创动科技有限公司
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the defects of cumbersome operation, limited scene, long output time and high price in the prior art using contact sensor, the present invention provides a non-contact emotion detection method and device

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  • Non-contact type emotion detection method and device
  • Non-contact type emotion detection method and device
  • Non-contact type emotion detection method and device

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Embodiment Construction

[0056] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0057] The present invention provides a non-contact emotion detection method, such as figure 1 shown, including:

[0058] S100, collecting video information including the measured human body and a heat map / hot spot area map of the measured human body through a camera and an infrared sensor respectively;

[0059] S200, identifying the video information and the heat map / hot spot area map to obtain the human body feature data of the detected human body;

[0060] S300, correlating and analyzing the human body feature data with a deep learning engine to obtain the tension level of the human bod...

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Abstract

The invention provides a non-contact type emotion detection method and a device, and relates to the technical field of emotion detection. The method comprises the following steps of collecting video information containing a to-be-detected human body and a heat map / hot point area graph of the to-be-detected human body through a camera and an infrared sensor; recognizing the video information and the heat map / hot point area graph, so as to obtain the human body feature data of the to-be-detected human body; performing deep learning, engine correlation and analysis on the human body feature data, so as to obtain the nervousness degree of the to-be-detected human body; outputting the result of the nervousness degree of the to-be-detected human body through the deep learning, engine correlation and analysis. The method has the advantage that by combining intelligent sensing technique, machine vision and deep learning, engine correlation and analysis, the human body feature data can be judged in short time according to the collected video and other data, the hazard index and psychological nervousness degree of the to-be-detected human body can be finally analyzed, and the effective reference is provided for a detector to predict and prevent the hazard.

Description

technical field [0001] The invention belongs to the technical field of emotion detection, and in particular relates to a non-contact emotion detection method and device. Background technique [0002] The changes of human physiological indicators over time reflect the relationship between the activity of sympathetic nerves and episympathetic nerves in the autonomic nervous system and their balance and coordination. HR (Heart Rate) and HRV (Heart Rate Variable), as well as regular changes in blood pressure and blood oxygen concentration, are highly correlated with changes in stress. A large number of domestic and foreign literatures have discussed the relationship between heart rate, heart rate variability and stress, and some manufacturers have developed products based on these research results. The ECG signals (HR and HRV) are used to judge tension and stress. At present, most of the medical instruments on the market use contact sensors to detect the heart rate variability...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/16A61B5/00
Inventor 曾光刘奇玮张祺
Owner 深圳市科思创动科技有限公司
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