A new method of audio-visual environment emotion assessment based on range fusion decision
Multimedia Tools and Applications, ISSN: 1573-7721, Vol: 83, Issue: 13, Page: 40003-40019
2024
- 2Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures2
- Readers2
Article Description
Regarding the effect of vision and auditory on emotion, only one factor of vision or auditory is often focused on, while the synergistic influence among different factors is ignored. Besides, the effect of various factors on emotion is not studied quantitatively. Therefore, this paper proposes a range fusion decision model in a normal environment. First, the orthogonal table is used to design the experimental plan between different visual and auditory factors, and the corresponding EEG is collected through the portable EEG device. Then, EMD and Hilbert transform are used to calculate the response-related time, combined with the range fusion decision model to obtain the adaptive weight of each environmental factor, and the influence mechanism of different visual and auditory factors on EEG can be established to realize the brain emotion assessment in the different audio-visual environment. The experimental results show that the model effectively reveals the mechanism of the synergistic influence of various visual and auditory environmental factors on human emotion and provides essential practical guidance for ecological design.
Bibliographic Details
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know