Similarity-Based Summarization of Music Files for Support Vector Machines by Jan Jakubik, Halina Kwaśnicka

“…We evaluate the approach on five datasets, focusing on emotion recognition and complementing it with genre classification. …”
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Impact of partial occlusion of the face on multisensory emotion perception: Comparison of pre- and post-COVID-19 pandemic. by Misako Kawahara, Akihiro Tanaka

“…Our findings showed that, when facial cues were partially occluded, participants relied more on vocal cues for emotion recognition. Moreover, when the mouth was covered, participants relied less on vocal cues after the pandemic compared to before. …”
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A CNN-Based Approach for Classical Music Recognition and Style Emotion Classification by Yawen Shi

“…The experiment results show average title recognition accuracy is 0.98, average style recognition accuracy is 0.89 and average emotion recognition accuracy is 0.93. These results adequately demonstrate that the proposal model significantly enhances the model’s ability to accurately recognize the titles, styles, and emotions of classical music, achieving high recognition rates even in noisy environments.…”
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"I Fregi del Ceppo”: when artificial intelligence and geomatics meet theatre by Pietro Bartolini, Alessandro Conti, Lidia Fiorini, Grazia Tucci

“…Body scans, motion tracking, and emotion recognition enable new storytelling methods, while virtual characters and avatars allow performers to explore identity and interaction in novel ways. …”
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Beyond the Trends: Evolution and Future Directions in Music Recommender Systems Research by Babak Amiri, Nikan Shahverdi, Amirali Haddadi, Yalda Ghahremani

“…A review of thematic evolution highlights the importance of digitalisation, emotion recognition, personalisation, user experience, and collaborative filtering in determining future research directions. …”
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The Walk of Guilt: Multimodal Deception Detection from Nonverbal Motion Behaviour by Sharifa Alghowinem, Sabrina Caldwell, Ibrahim Radwan, Michael Wagner, Tom Gedeon

“…Following the success of affective computing in emotion recognition from verbal and nonverbal cues, we aim to apply a similar concept for deception detection. …”
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Feasibility study of emotion mimicry analysis in human–machine interaction by Herag Arabian, Tamer Abdulbaki Alshirbaji, Ashish Bhave, Verena Wagner-Hartl, Marcel Igel, J. Geoffrey Chase, Knut Moeller

“…During this process, a custom emotion recognition model analyzes the user’s facial expressions and provides feedback on the accuracy of their projection. …”
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Digitally assessing social–emotional skills in early school years: initial validation of a screening instrument by Andrea Kogler, Andrea Kogler, Barbara Gasteiger-Klicpera, Barbara Gasteiger-Klicpera, Katharina Prinz, Lisa Paleczek, Lisa Paleczek

“…This paper introduces a new digital instrument, the GraSEF: Grazer Screening to assess Social–Emotional Skills, which was developed to measure (1) Behavior in Social Situations, (2) Prosocial Behavior, (3) Emotion Regulation Strategies, (4) Emotion Recognition and (5) Self-Perception of Emotions using different test formats (e.g., situational judgement test, self-assessment, performance tests). …”
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Examining Specific Theory-of-Mind Aspects in Amnestic and Non-Amnestic Mild Cognitive Impairment: Their Relationships with Sleep Duration and Cognitive Planning by Areti Batzikosta, Despina Moraitou, Paschalis Steiropoulos, Georgia Papantoniou, Georgios A. Kougioumtzis, Ioanna-Giannoula Katsouri, Maria Sofologi, Magda Tsolaki

“…ToM assessment included tasks measuring the understanding and interpretation of non-literal speech, proverbs and metaphors, as well as an emotion-recognition test. For cognitive planning, a Tower Test was utilized. …”
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Neural Correlates of Social Perception Deficit in Schizophrenia: An Event-related Potential Study by Jiang-juan Li, Xin-ping Li, Jia-min Han, Yi-fan Sun, Xiao-hong Liu, Xue-zheng Gao, Li-min Chen, Zhen-he Zhou, Hong-liang Zhou

“…Background: Deficits in emotion recognition have been shown to be closely related to social-cognitive functioning in schizophrenic. …”
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Design of Semantic Matching Model of Folk Music in Occupational Therapy Based on Audio Emotion Analysis by Wensi Ouyang

“…The model is based on the framework of emotional semantic matching technology and realizes the emotional semantic matching of music fragments and words through semantic emotional recognition algorithm. Multiple experiments show that when W=0.65, the recognition rate of multichannel fusion model is 88.42%, and the model can reasonably realize audio emotion analysis. …”
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Revealing complexity: segmentation of hippocampal subfields in adolescents with major depressive disorder reveals specific links to cognitive dysfunctions by Yixin Zhang, Xuan Liu, Ying Yang, Yihao Zhang, Qiang He, Feiyu Xu, Xinjuan Jin, Junqi Gao, Yuan Yao, Dexin Yu, Bernhard Hommel, Xingxing Zhu, Kangcheng Wang, Wenxin Zhang

“…All participants underwent T1 and T2 imaging, completed depressive severity assessments, and performed cognitive assessments on memory, emotional recognition, cognitive control, and attention. …”
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Identifikasi Emosi Manusia Berdasarkan Ucapan Menggunakan Metode Ekstraksi Ciri LPC dan Metode Euclidean Distance by Siti Helmiyah, Imam Riadi, Rusydi Umar, Abdullah Hanif, Anton Yudhana, Abdul Fadlil

“…Besides the use of classification methods can also affect the results of emotional recognition.   …”
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