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Psychological stress monitoring method, device and system

A psychological pressure and waveform technology, applied in the computer field, can solve the problems of low accuracy, poor real-time performance, lack of real-time perception of the user's psychological state, etc., and achieve the effect of high accuracy

Active Publication Date: 2019-05-17
TSINGHUA UNIV
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AI Technical Summary

Problems solved by technology

At present, the information channel of human-computer interaction is still a traditional multi-modal method, including touch, voice, image, computer IO, etc. The computer lacks real-time perception of the user's usage status, especially the psychological state, and the interaction intelligence is not high.
[0003] At present, when determining the user's psychological pressure value, the psychological pressure analysis is performed according to the frequency spectrum of the PPG signal, but this method has a low accuracy and is not real-time

Method used

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  • Psychological stress monitoring method, device and system
  • Psychological stress monitoring method, device and system

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Embodiment Construction

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0055] see figure 1 , figure 1 It is an implementation flowchart of a psychological stress monitoring method provided by an embodiment of the present invention, the method includes:

[0056] Step S101 , sampling the PPG data by means of a sliding window to obtain waveform samples at a preset time.

[0057] The PPG data in this embodiment can be obtained through a wristband sensor or a finger clip device, and the PPG data is sampled by a psychol...

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Abstract

The invention discloses a psychological stress monitoring method, device and system. The method comprises the steps of sampling PPG data in a mode of a sliding window to obtain a waveform sample valueat a preset moment; dividing the waveform sample value to obtain N effective heartbeat waveforms at the preset moment, wherein N is a positive integer; inputting each heartbeat waveform to a trainedmachine learning model to obtain a psychological stress value corresponding to each heartbeat waveform; obtaining the psychological stress value at the preset moment according to the N psychological stress values. Compared with the prior art, the psychological stress monitoring method, device and system have the advantage that the psychological stress value at the preset moment through the machinelearning model is higher in accuracy.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a psychological pressure monitoring method, device and system. Background technique [0002] Human life is inseparable from the intervention of digitization and informatization. The increasing convenience of network information and communication has narrowed the actual distance of geographical space, but also weakened the relationship between people, between people and things, and between people and the environment. The actual communication and dialogue, human life needs to be based on interaction and communication. At this stage, the information channel of human-computer interaction is still a traditional multi-modal method, including touch, voice, image, computer IO, etc. The computer lacks real-time perception of the user's use status, especially the psychological state, and the interaction intelligence is not high. [0003] At present, when determining the user's psycholog...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/024A61B5/16A61B5/00
Inventor 吕勇强孟焱张潇
Owner TSINGHUA UNIV
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