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A method for estimating the limit value of video freezing based on brain waves

A technology of brain wave and limit value, applied in the field of estimation of video freeze limit value based on brain wave, can solve problems such as lack of measurement

Active Publication Date: 2018-07-17
TSINGHUA UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

This method lacks the measurement of real-time experience during use, and the subjective report may involve multiple psychological processes, and is also affected by factors such as social approval and the main test effect.

Method used

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  • A method for estimating the limit value of video freezing based on brain waves
  • A method for estimating the limit value of video freezing based on brain waves
  • A method for estimating the limit value of video freezing based on brain waves

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Embodiment Construction

[0047] A search of publicly available information, including online sources, indicates that:

[0048] It takes about 75mS for the visual signal to be transmitted to the retina of the human brain when the stutter occurs or terminates, and the time for the human brain to process the signal is 200mS. According to the analysis of online data, it shows that the time for the action command in the brain action area to be transmitted to the hand muscle neurons is 100mS , so it is estimated that the transmission time from the occipital lobe of the cerebral cortex to the eye neurons will not be higher than 100mS due to the short transmission time, which is different between juveniles, young people, and old people, and it will be shortened with age. The appearance time of the first β wave is estimated to be within the open interval of (275mS, 375mS); in addition, the data show that after the cerebral cortex processes the signal sent from the retina, the time to send out the brain wave is ...

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Abstract

The invention discloses a method for estimating video lag limit values on basis of brain waves, and belongs to the field of detection of change of user emotion including depression or excitement. Themethod is characterized by comprising extracting all brain wave graphs of various qualified subjects during watching; labeling start and stop moments of various lag time frames; utilizing the start and stop moments as starting points and labeling lag stress signal processing time of cerebral cortexes; referring to brain science common sense that the brain waves can reach neurons of muscles of hands by 0.1 second approximately and estimating possible stress brain wave emission time frames of the cerebral cortexes; finding corresponding candidate lag limit values according to a principle that first waves, lower than 50 micro-voltages, at the rears of last alpha waves are first beta waves, and finding all lag limit candidate values of the lag start and stop moments from all lag time frames ofthe various subjects. All the brain wave graphs comprise the various lag moments. The two lag limit candidate values with maximum time values are lag limit values for detecting change of user emotion. The method has the advantage that reference bottom line parameters can be provided for evaluating lag fault effects by the method.

Description

technical field [0001] The present invention relates to the field of detection of changes in cognitive emotions, in particular, to a method for measuring the limit value of video freezing based on brain waves, mainly aimed at the detection of negative emotions of users caused by video freezing, using brain wave monitoring means , analyze the β band in the parietal and occipital lobes of the brain, and use statistical methods to test that the time when the characteristic signal has a significant difference is about 350ms, that is, when the single freeze time exceeds 350ms, the user will have obvious negative mood. Provide a monitoring method for monitoring the user's emotional response to stuttering when watching a video based on brain waves. Background technique [0002] According to the "China Internet Online Video Experience Evaluation Report" released by the China Broadband Development Alliance in the second quarter of 2017, the average freeze rate of Internet online vid...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/16A61B5/0476
Inventor 陶晓明陈昭刘一烽肖蔼玲葛宁陆建华
Owner TSINGHUA UNIV