A database for facial behavioural analysis

2012

We thank those who kindly volunteered to participate in the study. We also thank David McCormick for encouragement and support and Aldert Vrij, University of Portsmouth, for helpful discussions and advice. 2 Summary This paper presents the development of a computerised, non-invasive psychological profiling system, „Silent Talker‟, for the analysis of nonverbal behaviour. Nonverbal signals hold rich information about mental, behavioural and/or physical states. Previous attempts to extract individual signals and to classify an overall behaviour have been time-consuming, costly, biased, error-prone and complex. Silent Talker overcomes these problems by the use of Artificial Neural Networks. The testing and validation of the system was undertaken by detecting processes associated with “deception ” and “truth”. In a simulated theft scenario thirty-nine participants „stole‟ (or didn‟t) money, and were interviewed about its location. Silent Talker was able to detect different behaviour pat...

IEEE Transactions on Information Forensics and Security, 2000

Revista Facultad de Ingeniería, 2017

An artificial vision system is presented for lie detection by analyzing face thermal image sequences. This system represents an alternative technique to the polygraph. Some of its features are: 1) it has no physical contact with the examinee, 2) it is non-intrusive, 3) it has a potential for private use, and 4) it can simultaneously analyze several persons. The proposed system is based on the detection of physiological changes in temperature in the lacrimal puncta area caused by the subtle increase in blood flow through the nearby vascular network. These changes take place when anxiety appears as a consequence of deception. Thus, the system segments the periorbital area, and tracks consecutive frames using the Kanade-Lucas-Tomasi algorithm. The results show a success rate of 79.2 % in detecting lies using a simple classification based on the comparison between the estimated temperatures in control questions, and the rest of the interrogation procedure. The performance of this system...

2010

Abstract The face conveys information about a person's age, sex, background, and identity; what they are feeling, thinking, or likely to do next. Facial expression regulates face-to-face interactions, indicates reciprocity and interpersonal attraction or repulsion, and enables intersubjectivity between members of different cultures. Facial expression indexes neurological and psychiatric functioning and reveals personality and socioemotional development.

European Polygraph

Strong emotions are among others manifested in the expressive movements (facial expression). Facial expressions are natural and universal by nature. They do not depend on ethnicity, culture, social status, age, etc. Nonetheless, humans are sometimes capable of controlling their facial expressions and hiding their emotions. Simulating emotions is a fundamental acting skill. However, controlling facial impressions takes time. The onset of such a control is delayed by anything from 0.25 to even 0.1 second – the period when the authentic facial expression, adequate to the emotion is demonstrated – and therefore remains imperceptible to an external observer. This short-lived facial expression observed in that short meantime is known as microexpression. FaceReader, designed by Dutch company Noldus (established and directed by Professor Lucas Noldus), is a software package for automatic recognition and analysis of facial expression. As its diagnostic value for validity as well as reliabili...

IS&T International Symposium on Electronic Imaging Science and Technology, 2017

European Polygraph

IEEE Intelligent Systems, 2005

International Journal of Computational and Electronic Aspects in Engineering, 2022

This survey paper describes a number of fields in which human behavior analysis through facial gestures is applied, the various method that is utilized with the most recent technologies. Cutting-edge camera technology was used to capture images and assess a person's emotions. Human behavior is studied through facial and body gestures, and in this study, we divide human emotions into universally acknowledged expressions such as "sad," "happy," "surprised," "worried," and "liar." The limitations and benefits of competing and complementary technologies are discussed in this study, as well as the diversity of research in the area of human behavioral analysis based on face and gestures.

2018

The purpose of this research is to determine if recall of the same stimuli produces similar emotional reactions as the initial response. Humans experience involuntary and voluntary responses when encountered with a stimulus. Facial expressions are the natural way to deduce and interpret the emotional state of that person. Specialized software called iMotions biometric software can virtually mold itself to the structure of one’s face to interpret and infer the personalized emotional states. There are seven main emotions detected by the iMotions emotient FACET facial expression recognition and analysis software; joy, sadness, anger, surprise, contempt, disgust, and fear. 11 respondents, 6 females and 5 males, 20-23 years of age participated in this study. Seven videos were shown to each respondent corresponding to each emotion analyzed. Two sessions took place for this procedure; in the first the respondents viewed the stimuli for the initial exposure, following the general procedure,...