EEG-Analysis for the Detection of True Emotion or Pretension

Author(s):  
Reshma Kar ◽  
Amit Konar ◽  
Aruna Chakraborty

Several lobes in the human brain are involved differently in the arousal, processing and manifestation of emotion in facial expression, vocal intonation and gestural patterns. Sometimes people suppress their bodily manifestations to pretend their emotions. Detection of emotion and pretension is an open problem in emotion research. The chapter presents an analysis of EEG signals to detect true emotion/pretension: first by extracting the neural connectivity among selected brain lobes during arousal and manifestation of a true emotion, and then by testing whether the connectivity among the lobes are maintained while encountering an emotional context. In case the connectivity is manifested, the arousal of emotion is regarded as true emotion, otherwise it is considered as a pretension. Experimental results confirm that for positive emotions, the decoding accuracy of true (false) emotions is as high as 88% (72%), while for negative emotions, the classification accuracy falls off by a 12% margin for true emotions and 8% margin for false emotions. The proposed method has wide-spread applications to detect criminals, frauds and anti-socials.

2021 ◽  
Author(s):  
Angel Elias ◽  
Fathima Banu Raza ◽  
Anand Kumar Vaidyanathan ◽  
Padmanabhan Thallam Veeravalli

2021 ◽  
Author(s):  
Harisu Abdullahi Shehu ◽  
William Browne ◽  
Hedwig Eisenbarth

Emotion categorization can be the process of identifying different emotions in humans based on their facial expressions. It requires time and sometimes it is hard for human classifiers to agree with each other about an emotion category of a facial expression. However, machine learning classifiers have done well in classifying different emotions and have widely been used in recent years to facilitate the task of emotion categorization. Much research on emotion video databases uses a few frames from when emotion is expressed at peak to classify emotion, which might not give a good classification accuracy when predicting frames where the emotion is less intense. In this paper, using the CK+ emotion dataset as an example, we use more frames to analyze emotion from mid and peak frame images and compared our results to a method using fewer peak frames. Furthermore, we propose an approach based on sequential voting and apply it to more frames of the CK+ database. Our approach resulted in up to 85.9% accuracy for the mid frames and overall accuracy of 96.5% for the CK+ database compared with the accuracy of 73.4% and 93.8% from existing techniques.


2020 ◽  
Vol 55 (3) ◽  
pp. 375-391 ◽  
Author(s):  
Giuliana Isabella ◽  
Valter Afonso Vieira

Purpose The purpose of this paper is to investigate the emotional contagion theory in print ads, and expand the literature of smiling to different type of smiles and gender congruency. Emotional contagion happens when an emotion is transferred from a sender to a receiver by the synchronization of emotions from the emitter. Drawing on emotional contagion theory, the authors expand this concept and propose that smiles in static facial expressions influence product evaluation. They suggest that false smiles do not have the same impact as genuine smiles on product evaluation, and the congruence between the model gender–product in a static ad and the gender of the viewer moderates the effects. Design/methodology/approach In Experiment 1, subjects were randomly assigned to view one of the two ad treatments to guard against systematic error (e.g. bias). In Experiment 2, it was investigated whether viewing a static ad featuring a model with a false smile can result in a positive product evaluation as was the case with genuine smiles (H3). In Experiment 3, it was assumed that when consumers evaluate an ad featuring a smiling face, the facial expression influences product evaluation, and this influence is moderated by the congruence between the gender of the ad viewer and the product H gender of the model in the ad. Findings Across three experiments, the authors found that the model’s facial expression influenced the product evaluation. Second, they supported the association between a model’s facial expression and mimicry synchronization. Third, they showed that genuine smiles have a higher impact on product evaluation than false smiles. This novel result enlarges the research on genuine smiles to include false smiles. Fourth, the authors supported the gender–product congruence effect in that the gender of the ad’s reader and the model have a moderating effect on the relationship between the model’s facial expression and the reader’s product evaluation. Originality/value Marketing managers would benefit from understanding that genuine smiles can encourage positive emotions on the part of consumers via emotional contagion, which would be very useful to create a positive effect on products. The authors improved upon previous psychological theory (Gunnery et al., 2013; Hennig-Thurau et al., 2006) showing that a genuine smile results in higher evaluation scores of products presented in static ads. The theoretical explanation for this effect is the genuine smile, which involves contraction of both zygomatic major and orbicularis oculi muscles. These facial muscles can be better perceived and transmit positive emotions (Hennig-Thurau et al., 2006).


2020 ◽  
Vol 8 ◽  
Author(s):  
F. Vazza ◽  
A. Feletti

We investigate the similarities between two of the most challenging and complex systems in Nature: the network of neuronal cells in the human brain, and the cosmic network of galaxies. We explore the structural, morphological, network properties and the memory capacity of these two fascinating systems, with a quantitative approach. In order to have an homogeneous analysis of both systems, our procedure does not consider the true neural connectivity but an approximation of it, based on simple proximity. The tantalizing degree of similarity that our analysis exposes seems to suggest that the self-organization of both complex systems is likely being shaped by similar principles of network dynamics, despite the radically different scales and processes at play.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
A. S. Villain ◽  
A. Hazard ◽  
M. Danglot ◽  
C. Guérin ◽  
A. Boissy ◽  
...  

Abstract Emotions not only arise in reaction to an event but also while anticipating it, making this context a means of accessing the emotional value of events. Before now, anticipatory studies have rarely considered whether vocalisations carry information about emotional states. We studied both the grunts of piglets and their spatial behaviour as they anticipated two (pseudo)social events known to elicit positive emotions of different intensity: arrival of familiar conspecifics and arrival of a familiar human. Piglets spatially anticipated both pseudo-social contexts, and the spectro temporal features of grunts differed according to the emotional context. Piglets produced low-frequency grunts at a higher rate when anticipating conspecifics compared to anticipating a human. Spectral noise increased when piglets expected conspecifics, whereas the duration and frequency range increased when expecting a human. When the arrival of conspecifics was delayed, the grunt duration increased, whereas when the arrival of the human was delayed, the spectral parameters were comparable to those during isolation. This shows that vocal expressions in piglets during anticipation are specific to the expected reward. Vocal expressions—both their temporal and spectral features- are thus a good way to explore the emotional state of piglets during the anticipation of challenging events.


2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Fitria Angraini Dalili ◽  
Taufiq F. Pasiak ◽  
Sunny Wangko

Abstract: Neuroscience is a science about the nervous system especially the brain. According to Daniel Amen who used SPECT to watch brain activity that was associated with the soul, brain was  divided into five main systems: prefrontal cortex, limbic system, ganglia basalis, gyrus cingulatus, and temporal lobe. A person’s spirituality is related to the purpose and meaning of his/her life as a manifestation of one’s relationship with God. Spirituality has four dimensions, namely the meaning of life, positive emotions, spiritual experiences and rituals. In Indonesia, Indonesia Spiritual Health Assessment (ISHA) is used to assess a person’s spirituality. The purpose of this research was to determine the relationship of spirituality with the human brain among Manado STAIN lecturers. This was a descriptive analytic study with 30 respondents. The results were analyzed by using the Spearmen correlation analysis. There was a significant correlation between the performance of the human brain and spirituality, in this case the relationship was between the prefrontal cortex and the meaning of life. Conclusion: There was a strong relationship between the human brain and spirituality. Keywords: brain, ISHA, spirituality.  Abstrak: Neurosains adalah ilmu yang mempelajari tentang semua hal yang berkaitan dengan sistem saraf, dalam hal ini otak. Daniel Amen yang menggunakan SPECT dalam mengamati aktivitas otak yang berhubungan dengan jiwa, membagi otak ke dalam lima sistem utama: cortex prefrontalis, sistem limbik, ganglia basalis, gyrus cingulatus, dan lobus temporalis. Spiritualitas seseorang berkaitan dengan tujuan dan makna hidup kehidupan secara keseluruhan, sebagai manifestasi hubungannya dengan Tuhan. Spiritualitas mempunyai empat dimensi yaitu makna hidup, emosi positif, pengalaman spiritual, dan ritual. Di Indonesia, alat ukur spiritual yang digunakan yaitu Indonesia Spiritual Health Assessment (ISHA). Tujuan penelitian ini untuk mengetahui hubungan kinerja otak dengan spiritualitas manusia pada dosen STAIN Manado. Penelitian ini bersifat deskriptif analitik dengan jumlah responden 30 orang. Hasil penelitian dianalisis dengan analisis korelasi Spearmen yang menunjukkan adanya korelasi bermakna antara kinerja otak dan spiritualitas manusia, dalam hal ini hubungan antara cortex prefrontalis dan makna hidup. Simpulan: Terdapat hubungan bermakna antara kinerja otak dan spiritualitas manusia. Kata kunci: otak, ISHA, spiritualitas.


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