# Emotion Classification Algorithm for Audiovisual Scenes Based on Low-Frequency Signals
###### Abstract  
Since informatization and digitization came into life, audio signal emotion classification has been widely studied and discussed as a hot issue in many application fields. With the continuous development of artificial intelligence, in addition to speech and music audio signal emotion classification technology, which is widely used in production life, its application is also becoming more and more abundant. Current research on audiovisual scene emotion classification mainly focuses on the frame-by-frame processing of video images to achieve the discrimination of emotion classification. However, those methods have the problems of algorithms with high complexity and high computing cost, making it difficult to meet the engineering needs of real-time online automatic classification. Therefore, this paper proposes an automatic algorithm for the detection of effective movie shock scenes that can be used for engineering applications by exploring the law of low-frequency sound effects on the perception of known emotions, based on a database of movie emotion scene clips in 5.1 sound format, extracting audio signal feature parameters and performing dichotomous classification of shock and other types of emotions. As LFS can enhance a sense of shock, a monaural algorithm for detecting emotional scenes with impact using a subwoofer (SW) is proposed, which trained a classification model using SW monaural features and achieved a maximum accuracy of 87% on the test set using a convolutional neural network (CNN) model. To expand the application scope of the above algorithm, a monaural algorithm for detecting emotional scenes with impact based on low-pass filtering (with a cutoff frequency of 120 Hz) is proposed, which achieved a maximum accuracy of 91.5% on the test set using a CNN model. low frequency sound; brain wave measurement; 5.1 sound formats; deep learning; movie shock scene detection +
Footnote †: journal: Applied Sciences  
in 2003 to find its effect on emotion. The results showed that 22% of the subjects felt anxious, uneasy, extremely sad, tense, disgusted, or fearful, and experienced chills down the spine [9]. While most of the existing research has focused on the negative impact of LFS on human emotion perception, there is limited research on the potential of LFS to enhance human emotion perception. With the development of multimedia audio technology, the evaluation of audio quality, including the quality of LFS in audio, has received increasing attention from the public, as its quality plays a crucial and prominent role in audio quality evaluation. In audiovisual scenes, LFS is often utilized as a primary source of shock in films, and the inclusion of its components can enhance the impact of these scenes, providing the audience with a heightened sense of immersion. Electroencephalography (EEG) signals are important physiological signals generated by brain activity within the cranial cavity that can be recorded from the surface of the scalp and contain rich physiological information. The psychological effects of external stimuli on individuals can be described and quantified using various emotion perceptual measures, and objective parameters can also be measured using instruments such as EEG and functional magnetic resonance imaging (fMRI). EEG instruments have been widely used in the field of psychoacoustics, such as investigating the changes in energy of different brain functional areas in response to external auditory stimuli [10] and their corresponding relationship with emotion perception. However, there are relatively few studies that have directly applied LFS as a stimulus in EEG experiments. Studies by [PERSON] and [PERSON] have shown that the energy of the alpha rhythm in EEG decreases in the presence of external auditory stimuli [10]. [PERSON]'s experiments have shown that the presence of LFS increases the energy of beta rhythm, and excessive beta rhythm activity can induce feelings of anxiety, fear, and stress, while higher-than-average frequencies of brain rhythms can induce fantasies [11].