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The levels of stress while driving affect the way we drive and have an impact on the likelihood of having an accident. Different types of sensors, such as heart rate or skin conductivity sensors, have been previously used to measure stress related features. Estimated stress levels could be used to adapt the driver’s environment to minimize distractions in high cognitive demanding situations and to...
Emotions play a significant and powerful role in everyday life of human beings. Developing algorithms for computers to recognize emotional expression is a widely studied area. In this study, emotion recognition from Galvanic signals was performed using time domain and wavelet based features. Feature extraction has been done with various feature set attributes. Various length windows have been used...
This paper investigates computational emotion recognition using multimodal physiological signals. Four physiological signs - plethysmogram, skin conductance change, respiration rate and skin temperature - are measured to evaluate three emotions: positive, negative and neutral. Psychophysical experiments are conducted using Japanese kanji words in order to excite emotions in subjects so as to elicit...
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