Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach
By Christos D. Katsis, Nikolaos S. Katertsidis, George Ganiatsas, Dimitrios I. Fotiadis. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2008
346 citations recorded by the source corpus.
Subfields: Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/8b677819c26cd0cd307b0d816c7f16bf208133dc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cardiology and Cardiovascular Medicine
- Nandita Sharma
- Arturas Kaklauskas
- Dimitris Grigoriadis
- Giorgos Giannakakis
- Tom Gedeon
- Katerina Giannakaki
- Olympia Simantiraki
- Manolis Tsiknakis
In Cognitive Neuroscience
In Experimental and Cognitive Psychology
- Nandita Sharma
- Arturas Kaklauskas
- Dimitris Grigoriadis
- Giorgos Giannakakis
- Tom Gedeon
- Katerina Giannakaki
- Olympia Simantiraki
- Manolis Tsiknakis
Citations in the corpus
- Objective measures, sensors and computational techniques for stress recognition and classification: A survey (2012, methodology): “ybrid techniques for stress models include an adaptive euro-fuzzy inference system [18], a fuzzy clustering techique [8], and a technique combining WT and ANN [117].”
- Human Emotion Recognition: Review of Sensors and Methods (2020, methodology): “Present a methodology and a wearable system for the evaluation of the emotional states of car-racing drivers Anger, fear, disgust, sadness, enjoyment and surprise EMG, GSR, ECG, respiration rate EMG textile fireproof sensors; ECG and respiration sensors on the thorax of the driver; the GSR sensor in”
- Sensor Technologies for Intelligent Transportation Systems (2018, background): “In this context, several past works have focused on drivers’ emotion recognition [88–90], evaluated emotional states in simulated environments [91,92], and evaluated driver’s stress [93,94] have been published.”
- Review on Psychological Stress Detection Using Biosignals (2019, methodology): “(2008) [233] 10 subjects men 22-35 Driving Task 4 facial EMGs, ECG,”
- Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications (2013, background): “Other projects process only the GSR signal (however, high accuracy is reached only to detect arousal) or use facial expression to derive emotions [16], [17], although video cameras or EMG electrodes placed on the face are required in this case.”