# Emotion Classification Algorithm for Audiovisual Scenes Based on Low-Frequency Signals
## 3 Numerical Results
### Data Results and Analysis of Subjective Evaluation Experiments
#### 3.1.3 Analysis of Subjective and Objective Experimental Results  
A quantitative analysis of the overall trend of changes reveals a certain regularity between LFS signals and the subjective and objective experimental results of known emotions. LFS signals have an inhibitory effect on the intensity of known happy emotions, which is consistent with the changes in \(\beta\) rhythm EEG energy of the subjects after the addition of LFS signals, but opposite to the overall trend of changes in \(\theta\) and \(\alpha\) rhythms. The subjective and objective results of known sad emotions also showed the same trend of changes, with increased intensity of sad emotions and \(\theta\) and \(\beta\) rhythm energy. Although LFS signals also have an enhancing effect on subjective shock, the trend of changes in EEG energy of the  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Emotion** & **Lead Positions** & \(\theta\)**Rhythm** & \(\alpha\)**Rhythm** & \(\beta\)**Rhythm** \\ \hline \multirow{4}{*}{Happiness} & S1 & 1.12 & 1.10 & 0.95 \\  & S2 & 1.14 & 1.00 & 0.93 \\  & S3 & 1.24 & 1.09 & 0.89 \\ \hline \multirow{4}{*}{Sadness} & S4 & 1.04 & 1.09 & 1.25 \\  & S5 & 1.08 & 1.02 & 1.18 \\  & S6 & 1.12 & 0.95 & 1.12 \\ \hline \multirow{4}{*}{Shock} & S7 & 0.88 & 1.02 & 1.18 \\  & S8 & 0.87 & 1.01 & 1.21 \\ \cline{1-1}  & S9 & 0.81 & 0.93 & 1.26 \\ \hline \hline \end{tabular}
\end{table}
Table 6: Relative power spectral density ratio of LFS added to and original video signal—comparison among different LFSs.  
Figure 13: EEG rhythm energy changes evoked by the addition of each LFS in 3 known emotional conditions relative to the original video signal.  
subjects is different from that of known sad emotions, and the enhancement of subjective emotions corresponds to the inhibition of \(\theta\) rhythm and the increase in \(\beta\) rhythm energy.  
To further quantify the correlation between the subjective relative values of participants' evaluations and the relative power spectral density ratios of EEG rhythms after the addition of LFS signals compared to those without LFS signals, Spearman correlation analysis was conducted, with statistical significance set at \(p<0.05\). Table 7 shows the results of statistically significant correlations. It can be seen that there is only significant correlation between the changes in subjective emotion intensity caused by four LFS signals and the measured values of objective EEG energy. S1 and S2 are both LFS signals used when the known emotion is happiness, and the effect on the intensity of happy emotion after adding known happy emotion video signals is significantly positively correlated with \(\beta\) rhythm in the F3 and AF4 electrode positions. S4 is an LFS signal added when the known emotion is sadness, and the changes in subjective sad emotion intensity it causes are significantly positively correlated with the changes in \(\alpha\) rhythm in the AF4 electrode position. The quantified values of the effect on subjective emotion after adding the S8 LFS signal in video signals known to induce shock are significantly negatively correlated with theta rhythm energy in the F3 electrode position.