Ioannis Pavlidis mostly deals with Artificial intelligence, Computer vision, Face, Facial recognition system and Simulation. His research in Artificial intelligence intersects with topics in Lie detection, Polygraph and Pattern recognition. His studies in Computer vision integrate themes in fields like Computer graphics and Breathing.
His biological study focuses on Three-dimensional face recognition. His research investigates the connection between Facial recognition system and topics such as Image segmentation that intersect with problems in Noise. The study incorporates disciplines such as Non contact measurement, Energy expenditure and Increased blood flow in addition to Simulation.
Ioannis Pavlidis spends much of his time researching Artificial intelligence, Computer vision, Simulation, Face and Facial recognition system. His research on Artificial intelligence often connects related areas such as Pattern recognition. His Computer vision course of study focuses on Breathing and Signal and Waveform.
His Simulation research is multidisciplinary, incorporating perspectives in Real-time computing, Thermal infrared and Accelerometer. His Facial recognition system research is multidisciplinary, relying on both Standard test image and Biometrics. Lie detection is closely connected to Polygraph in his research, which is encompassed under the umbrella topic of Image.
His scientific interests lie mostly in Distracted driving, Human–computer interaction, Context, Applied psychology and Arousal. The Distracted driving study combines topics in areas such as Biofeedback, Facial recognition system, Eye tracking and Driving simulator. His Biofeedback research incorporates elements of Statistical filtering, Peripheral vision and Simulation.
Ioannis Pavlidis works mostly in the field of Simulation, limiting it down to topics relating to Affect and, in certain cases, Task, as a part of the same area of interest. His work deals with themes such as Computer security, Multiplexing, Wearable computer and Task engagement, which intersect with Human–computer interaction. His Arousal study which covers Cognitive psychology that intersects with Naturalistic driving and User-centered design.
Empirical research, Human–computer interaction, Wearable computer, Simulation and Stressor are his primary areas of study. His biological study spans a wide range of topics, including Envelope and Key. His Wearable computer research integrates issues from Usability and Task.
His research investigates the connection between Simulation and topics such as Cognitive psychology that intersect with issues in Arousal. Ioannis Pavlidis performs integrative study on Dangerous driving and Artificial intelligence. Artificial intelligence and Distracted driving are commonly linked in his work.
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Contact-Free Measurement of Cardiac Pulse Based on the Analysis of Thermal Imagery
M. Garbey;Nanfei Sun;A. Merla;I. Pavlidis.
IEEE Transactions on Biomedical Engineering (2007)
Seeing through the face of deception
Ioannis Pavlidis;Norman L. Eberhardt;James A. Levine.
Physiology-Based Face Recognition in the Thermal Infrared Spectrum
P. Buddharaju;I.T. Pavlidis;P. Tsiamyrtzis;M. Bazakos.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2007)
Urban surveillance systems: from the laboratory to the commercial world
I. Pavlidis;V. Morellas;P. Tsiamyrtzis;S. Harp.
Proceedings of the IEEE (2001)
StressCam: non-contact measurement of users' emotional states through thermal imaging
Colin Puri;Leslie Olson;Ioannis Pavlidis;James Levine.
human factors in computing systems (2005)
Interacting with human physiology
I. Pavlidis;J. Dowdall;N. Sun;C. Puri.
Computer Vision and Image Understanding (2007)
Thermal image analysis for polygraph testing
I. Pavlidis;J. Levine.
IEEE Engineering in Medicine and Biology Magazine (2002)
Thermistor at a Distance: Unobtrusive Measurement of Breathing
Jin Fei;I. Pavlidis.
IEEE Transactions on Biomedical Engineering (2010)
Face recognition by fusing thermal infrared and visible imagery
George Bebis;Aglika Gyaourova;Saurabh Singh;Ioannis T. Pavlidis.
Image and Vision Computing (2006)
Imaging Facial Physiology for the Detection of Deceit
P. Tsiamyrtzis;J. Dowdall;D. Shastri;I. T. Pavlidis.
International Journal of Computer Vision (2007)
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