A method and device for reflecting the degree of collaboration of at least two participants

A participant-level technology, applied in the field of human-computer interaction, can solve the problems of less research and development of human-computer interaction methods, and few public reports of systematic and practical methods

Active Publication Date: 2017-12-15
TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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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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  • A method and device for reflecting the degree of collaboration of at least two participants
  • A method and device for reflecting the degree of collaboration of at least two participants

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Embodiment Construction

[0022] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present invention, and not to limit the present invention.

[0023] The brain-computer interaction technology in the human-computer interaction technology based on physiological signals also has broad application prospects in multi-person scenarios. By analyzing the brain waves of multiple participants at the same time, the interaction between participants can be more objectively and accurately evaluated. This application prospect is supported by recent results of cognitive neuroscience research. The human brain has strong social attributes, and it interprets the behavior and behavioral intentions of the self, the environment, and other individuals interacting with the self at all times. Therefore, there is inevitable synergy in th...

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Abstract

The invention discloses a method and a device for reflecting the degree of cooperation of at least two participants. Wherein, the method includes: collecting EEG data of each of the at least two participants in the same interaction scenario; aggregating EEG data at the same collection time according to timestamp information included in the EEG data ; calculating the EEG synergy index of every two participants from each of the EEG data at the same acquisition time; and averaging the EEG synergy indexes to obtain the at least two participants' EEG synergy index, thereby reflecting the degree of cooperation of the at least two participants. The present invention reflects the degree of cooperation of the at least two participants by synchronously collecting the EEG data of the at least two participants in the same interaction scenario, and calculating the EEG synergy index of the at least two participants according to the collected EEG data. , so as to be able to objectively and accurately evaluate the interaction between the participants.

Description

Technical field [0001] The present invention relates to the field of human-computer interaction technology, and in particular, to a method and device for reflecting the degree of collaboration of at least two participants. Background technique [0002] Human-computer interaction technology refers to the technology that realizes the communication of information between humans and computers in an effective manner through computer input devices and output devices. In traditional human-computer interaction technology, people mainly interact with computers through motion systems. In recent years, the development of emerging human-computer interaction technology has focused on obtaining human physiological signals through human physiological signal sensors through electrocardiogram, skin electricity, brain electricity, etc., so as to obtain more comprehensive information from people. So far, human-computer interaction technologies based on physiological signals have mostly focused on ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01
Inventor 张丹师丹青米海鹏
Owner TSINGHUA UNIV
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