Article
Neurosciences
Sutao Song, Meiyun Wu, Chunliang Feng
Summary: Contextual affective information influences the processing of facial expressions at the early stages of face processing. High-intensity fear expressions and fearful scenes can improve facial expression recognition accuracy. Emotional scenes modulate the amplitudes of EEG waves induced by fear expressions with different intensities.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Psychiatry
C. Priyesh, Chinmay A. Suryavanshi, Arun Sasidharan, Rajeshkrishna P. Bhandary, Rishikesh Behere, Kirtana R. Nayak
Summary: The study aimed to evaluate the utility of a combined paradigm to measure N170, N250, and vMMN in healthy controls compared to individual paradigms, with emotion-related ERPs showing higher amplitudes and a satisfactory ERP data quality.
ASIAN JOURNAL OF PSYCHIATRY
(2021)
Article
Psychology, Multidisciplinary
Zhuo Liu, Wenjun Du, Zhongrui Sun, Guanhua Hou, Zhuonan Wang
Summary: This study investigated the neural processing relationship between human facial emotions and facial emotions of gasoline and electric vehicles. The results showed that human and vehicle faces share similar neural processing mechanisms and that gasoline vehicle facial emotions can be perceived more efficiently than those of electric vehicles.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Neurosciences
Canhuang Luo, Wei Chen, Rufin VanRullen, Ye Zhang, Carl Michael Gaspar
Summary: This study investigated the impact of inter-stimulus interval (ISI) on the relationship between the N170 and recognition potential (RP), revealing reverse relationships between ISI and N170 latency, N1 jitter, and reaction time. The unique scalp topographies at the N1 peak across different conditions, from the longest ISI (N170) to the shortest (RP), suggest that the mask-delayed N1 remains the same N170. The results indicate a greater synthesis in the study of event related potential components.
HUMAN BRAIN MAPPING
(2022)
Article
Clinical Neurology
Hande Yildirim-Celik, Seda Eroglu, Kaya Oguz, Gulser Karakoc-Tugrul, Yigit Erdogan, Damla Isman-Haznedaroglu, Cagdas Eker, Ali Saffet Gonul
Summary: The study found that emotional contextual features play a role in facial emotion recognition, but this effect is not related to depression. Depressive patients have slower reaction times in recognizing facial emotions, possibly due to cognitive impairments.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Multidisciplinary Sciences
Zhao Li, Kewei Li, Ying Liu, Mingliang Gong, Junchen Shang, Wen Liu, Yangtao Liu, Zhongqing Jiang
Summary: Participants were asked to judge facial expressions (happiness or sadness) after the presentation of an emotional word (cry or smile) or a neutral word (baseline condition). The study found that participants were slower in judging valence-congruent facial expressions and showed a larger and longer N170 component compared to the baseline condition. There were no significant differences between valence-incongruent expressions and the baseline condition in terms of behavior and N170. However, the amplitude of the Late Positive Complex (LPC) was smaller under both valence-congruent and incongruent conditions compared to the baseline condition.
Article
Chemistry, Analytical
Silvia Ceccacci, Andrea Generosi, Luca Giraldi, Maura Mengoni
Summary: This paper explores the potential of emotion recognition systems to meet the growing need for audience understanding and development in arts organizations. Through an empirical study, it investigates the use of facial expression analysis in an emotion recognition system to understand audience emotional responses and overall satisfaction. The study was conducted during opera performances in an open-air theater, and the data collected can help artistic directors estimate audience satisfaction and make performance choices.
Article
Psychology, Multidisciplinary
Theresa Kuentzler, T. Tim A. Hoefling, Georg W. Alpers
Summary: Automated facial expression recognition technology performs on par with humans for classifying standardized emotional facial expressions, but faces limitations in accuracy for non-standardized expressions, indicating a need for further development and evaluation.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Psychology, Biological
Shadi Bagherzadeh-Azbari, Charlotte J. Lion, Tilman Stephani, Olaf Dimigen, Werner Sommer
Summary: The emotional expression and gaze direction of a face are important cues for human social interactions. The current study investigated the neural correlates of these factors and found that happy faces reflexively attract attention, while angry faces do not.
Article
Multidisciplinary Sciences
Tomohiro Arai, Hiroshi Nittono
Summary: This study found that cosmetic makeup enhances facial attractiveness and modulates neural responses to face images. It suggests that faces with makeup attract more visual attention and have higher reward value, not only in the eyes of others but also in how individuals perceive their own appearance.
Article
Psychology, Multidisciplinary
Diane Baier, Marleen Kempkes, Thomas Ditye, Ulrich Ansorge
Summary: Two experiments showed that fearful facial expressions do not capture attention in an awareness-independent way, whether as cues or targets.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Psychology, Multidisciplinary
Lyn S. Turkstra, Sam Hosseini-Moghaddam, Sophie Wohltjen, Sara V. Nurre, Bilge Mutlu, Melissa C. Duff
Summary: A study found impaired emotion recognition in adults with traumatic brain injury (TBI). Two major design features of previous studies limit the application of results to real-world contexts. To address these limitations, a new task was created to more closely approximate how adults with TBI label facial emotions beyond the lab.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Chemistry, Analytical
Manuel Porta-Lorenzo, Manuel Vazquez-Enriquez, Ania Perez-Perez, Jose Luis Alba-Castro, Laura Docio-Fernandez
Summary: This paper focuses on the classification of facial expressions in sign languages, proposing a reliable method for learning grammatical facial expressions using graph convolutional networks with face landmarks.
Article
Computer Science, Artificial Intelligence
Keyu Chen, Xu Yang, Changjie Fan, Wei Zhang, Yu Ding
Summary: The ability to perceive human facial emotions is important in intelligent human-computer interaction. Previous research on facial emotion recognition (FER) has mainly focused on basic emotions or abstract dimensions, neglecting the richness of emotion statements. This study proposes a solution to address the semantic richness issue in FER and introduces a facial emotion recognition framework.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2022)
Article
Computer Science, Artificial Intelligence
Xin Ma, Yingdong Ma
Summary: Facial Expression Recognition (FER) is a challenging task. We propose a deep network called RCANet for facial expression classification, which uses relations between pixels and channels and global and local contextual information to improve recognition performance. Experimental results demonstrate high accuracy rates on popular FER datasets.
IMAGE AND VISION COMPUTING
(2022)