Galvanic Skin Response: A Physiological Sensor System for Affective Computing
نویسندگان
چکیده
منابع مشابه
Computing Emotion Awareness through Galvanic Skin Response and Facial Electromyography*
To improve human-computer interaction (HCI), computers need to recognize and respond properly to their user’s emotional state. This is a fundamental application of affective computing, which relates to, arises from, or deliberately influences emotion. As a first step to a system that recognizes emotions of individual users, this research focuses on how emotional experiences are expressed in six...
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Affective computing systems consist of a varying number of components, such as sensors, data bases, and processing devices. So far, each system is set-up specifically and its architecture and configuration is as unique as its targeted purpose. With the increasing interest in affective computing, a generally applicable and easily realizable approach is desired to ease and speed up the installati...
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Introduction To extract and combine information from different modalities, fusion techniques are commonly applied to promote system performance. In this study, we aimed to examine the effectiveness of fusion techniques in emotion recognition. Materials and Methods Electrocardiogram (ECG) and galvanic skin responses (GSR) of 11 healthy female students (mean age: 22.73±1.68 years) were collected ...
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Sometimes, one needs to control different emotional situations which can lead the person suffering them to dangerous situations, in both the medium and short term. There are studies which indicate that stress increases the risk of cardiac problems. In this study we have designed and built a stress sensor based on Galvanic Skin Response (GSR), and controlled by ZigBee. In order to check the devi...
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ژورنال
عنوان ژورنال: International Journal of Machine Learning and Computing
سال: 2013
ISSN: 2010-3700
DOI: 10.7763/ijmlc.2013.v3.267