EEG Projection Content Evaluation in Enclosed Viewing Environments
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Solution Overview
Problem
Existing methods for evaluating projection content in enclosed environments are subjective and influenced by user responses, raising concerns about privacy and accuracy, necessitating a more objective and accurate evaluation method.
Innovation Solution
Utilizing brain-computer interaction technology to analyze electroencephalogram (EEG) signals from specific brain regions to evaluate projection content based on emotional valence, arousal, concentration, fatigue, motion sickness, and preference indices, calculating a projection content evaluation value through EEG energy values and corresponding weights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If interview or questionnaire methods are used to evaluate projection content, then user experience feedback can be obtained, but the evaluation results are greatly influenced by subjective factors and privacy concerns arise
Solution Approach 1:
The patent replaces the mechanical system of subjective questionnaires and interviews with a physiological measurement system using EEG (electroencephalogram) technology. This substitution captures objective brain wave signals to evaluate user experience, eliminating subjective response biases while maintaining evaluation capability through neural activity detection.
2Measurement precision
If EEG data is collected and analyzed to evaluate projection content, then objective and accurate evaluation is achieved, but the technical complexity and processing requirements increase
Solution Approach 1:
The patent extracts specific feature components from complex EEG signals, focusing on key frequency bands and temporal patterns that directly correlate with projection content evaluation metrics. This extraction approach isolates the most relevant physiological indicators while discarding redundant information, simplifying the analysis process.
Solution Approach 2:
The patent transforms raw EEG signals into meaningful evaluation parameters by analyzing frequency domain characteristics (alpha, beta, gamma waves) and temporal patterns. This parameter transformation converts difficult-to-interpret brain wave data into quantifiable metrics that directly reflect user experience quality.
Data Source
AI summary
The present disclosure relates to a method and a device for evaluating projection content in an enclosed environment, and a storage medium. The method comprises: acquiring electroencephalogram (EEG) data at a plurality of predetermined regions of the brain of a user, the EEG data being collected during the user watching the projection content; extracting feature of the acquired EEGs at each of the predetermined regions, so as to obtain EEG energy values of a plurality of frequency bands of the EEGs at each of the predetermined regions; determining, from the extracted EEG energy values, a plurality of EEG energy values respectively corresponding to a plurality of indexes for evaluating the projection content according to the correlations between the EEG energy values and the indexes; calculating a projection content evaluation value according to each of the plurality of EEG energy values and a corresponding weight in a plurality of weights respectively corresponding to the plurality of indexes; and evaluating the projection content using the projection content evaluation value. The method of the present disclosure can evaluate the projection content in an enclosed environment objectively, scientifically and accurately.