Corpus ID: 488069

Biometric Measurement of Human Emotions

  title={Biometric Measurement of Human Emotions},
  author={Clive Chandler and Rachel Cornes},
No aspect of our mental life is more important to the quality and meaning of our existence than emotions” (Sousa, 2010). It is not surprising that emotions have been a point of interest for researchers for centuries (Sousa, 2010), however, even after considerable research effort over many years, there is no definitive answer to the question ‘What is an emotion?’ (Scherer, 2005). As computer programs and application become more complex User experience and the ability to interact successfully has… Expand

Figures from this paper

Using the Internet of Things to Support Emotional Health
An examination of personal emotion-tracking applications indicates that many of the applications do not provide sufficient support for monitoring a full spectrum of emotional data or for analysing or using the data that is provided. Expand
Using psychophysiological measures to recognize personal music emotional experience
A new method of personal music emotion recognition based on human physiological characteristics is explored that provides an effective way to recognize personal music emotional experience, and the study can be applied to personalized music recommendation. Expand


Emotion Recognition Using Bio-sensors: First Steps towards an Automatic System
A procedure to train computers to recognise emotions using multiple signals from many different bio-sensors is described and a set of preliminary results indicate that the neural net classifier is able to obtain accuracy rates of 96.6% and 89.9% for recognition of emotion arousal and valence respectively. Expand
Analysis of emotion recognition using facial expressions, speech and multimodal information
Results reveal that the system based on facial expression gave better performance than the systembased on just acoustic information for the emotions considered, and that when these two modalities are fused, the performance and the robustness of the emotion recognition system improve measurably. Expand
Identifying Psychophysiological Correlates of Boredom and Negative Mood Induced during HCI
This paper presents work conducted towards the automatic recognition of negative emotions like boredom and frustration, induced due to the subject’s loss of interest during HCI, namely effective recognition of the human affective state. Expand
Digital processing of affective signals
  • Jennifer Healey, Rosalind W. Picard
  • Computer Science
  • Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181)
  • 1998
It was found that anger was well differentiated from peaceful emotions, that high and low arousal states were distinguished, but positive and negative valence states were difficult to distinguish and characteristic patterns for single emotions were found. Expand
What are emotions? And how can they be measured?
Defining “emotion” is a notorious problem. Without consensual conceptualization and operationalization of exactly what phenomenon is to be studied, progress in theory and research is difficult toExpand
Recording affective experience through psychophysiological measures presents many challenges. In the laboratory setting, where conditions can be controlled it is often difficult to generate the rangeExpand
Event-related skin conductance responses to musical emotions in humans
The results show that SCRs can be evoked and modulated by musical emotional arousal, but are not to emotional clarity. Expand
AffectPhone: A Handset Device to Present User's Emotional State with Warmth/Coolness
In AffectPhone, a system that detects a user’s emotional state using the GSR, and conveys this state via changes in the temperature (wamrth or coolness) of the back panel of the other handset, this system is designed to convey non-verbal information in an ambient manner, and would be more efficient than displays or speakers. Expand
An introduction to biometrics
This tutorial is to introduce the fundamentals of biometric technology from a pattern recognition and signal processing perspective by discussing some of the prominent techniques used in the field and to convey the recent advances made in this field especially in the context of security, privacy and forensics. Expand
Analysis of Human Electrocardiogram for Biometric Recognition
A fiducial-detection-based framework that incorporates analytic and appearance attributes is first introduced and a new approach based on autocorrelation (AC) in conjunction with discrete cosine transform (DCT) is proposed. Expand