Method and device for reflecting collaboration degree of at least two participants

Abstract

The invention discloses a method and a device for reflecting collaboration degree of at least two participants. The method comprises steps as follows: EEG (electroencephalograph) data of each of the at least two participants are collected in the same interactive scene; EEG data collected at the same time are collected according to timestamp information included in the EEG data; EEG collaboration indexes of every two participants are calculated according to every two of the EEG data collected at the same time; the average value of the EEG collaboration indexes is solved, EEG collaboration indexes of the at least two participants are obtained, and accordingly the collaboration degree of the at least two participants is reflected. EEG data of the at least two participants at the same interactive scene are collected synchronously, the EEG collaborative indexes of the at least two participants are calculated according to the collected EEG data, accordingly, the collaboration degree of the at least two participants can be reflected, and the interaction condition of the participants can be evaluated objectively and accurately.

Description

technical field [0001] The present invention relates to the technical field of human-computer interaction, in particular to a method and device for reflecting the degree of cooperation of at least two participants. Background technique [0002] Human-computer interaction technology refers to the technology that realizes information exchange between human and computer in an effective way through the input device and output device of the computer. In the traditional human-computer interaction technology, people mainly interact with computers through the motion system. In recent years, the emerging human-computer interaction technology has focused on obtaining human physiological signals through human physiological signal sensors in the form of ECG, skin electricity, and EEG, so as to obtain more comprehensive information from people. So far, most of the human-computer interaction technologies based on physiological signals have focused on human-computer interaction methods in...

AI Technical Summary

Problems solved by technology

[0003] However, the research and development of human-computer interaction methods based on physiological signals in multi-person scenarios is still relatively small, and there are few public reports on systematic and practical methods

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