ECE Seminar* Speaker: Dr. Vicky Ikonomidou, George Mason University
When: Friday,
September 18, 2015
2:00 PM
-
4:00 PM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: free
Description: Topic: STRESS DETECTION USING VIDEO ANALYTICS
Location: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A
Abstract:
Despite the importance of stress in our life, both as a health hazard and as a deterrent to everyday life quality, our ability to identify its onset in a close to real-time and non-obtrusive manner is limited. In this work, we are aiming at the development of a contactless system, based on a plain video camera, that can detect the introduction of stressors in an interview setting. Our approach is based on a combination of four different steps: (a) the design of a methodology to remotely detect the heart beat signal and extract the interbeat intervals, (b) development of algorithms to reliably extract information about the differential pulse transit time, defined as the difference between the time of arrival of the blood pulse wave in two distal body locations, (c) the development of robust and sensitive heart rate variability measures that can detect the presence of minor mental stress and (d) the design of change point detection algorithms that can identify the time points corresponding to stationarity changes in the underlying body response signal. Our initial results show that it is possible to detect mental stress in a non-contact manner, suggesting that the development of a remote, covert stress detection system is feasible.
Biography:
Vicky Ikonomidou earned the Diploma in Engineering (MSc) degree and the PhD in Electrical Engineering from the Aristotle University of Thessaloniki, Greece, in 1997 and 2002 respectively. Her PhD thesis focused on the development of excitation techniques for magnetic resonance tagging. In May 2003 she joined the intramural program of the National Institute of Neurological Disorders and Stroke (NINDS) of the NIH (Bethesda, MD), as a Visiting Fellow in the Laboratory for Functional and Molecular Imaging, Advanced MRI Section, working under Dr. Jeff Duyn in the development of high-contrast anatomical MRI techniques. In May 2006, she joined the Neuroimmunology Branch of NINDS, where she worked on brain imaging, using MRI and PET, in patients with Multiple Sclerosis. Since August 2009, she has been with George Mason University, where she is an Assistant Professor of Bioengineering, and the MRI Physicist of the Krasnow Institute for Advanced Study. Her research interests are in the fields of video analytics for stress detection and image processing for MRI for patients with neurodegenerative diseases. Dr. Ikonomidou has co-authored 22 papers in peer-reviewed journals, and is a member of ISMRM and IEEE.
The Seminars is open to the public free of charge.
*For further information, please contact Dr. John Buck at 508.999.9237, or by via email at jbuck@umassd.edu.
Location: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A
Abstract:
Despite the importance of stress in our life, both as a health hazard and as a deterrent to everyday life quality, our ability to identify its onset in a close to real-time and non-obtrusive manner is limited. In this work, we are aiming at the development of a contactless system, based on a plain video camera, that can detect the introduction of stressors in an interview setting. Our approach is based on a combination of four different steps: (a) the design of a methodology to remotely detect the heart beat signal and extract the interbeat intervals, (b) development of algorithms to reliably extract information about the differential pulse transit time, defined as the difference between the time of arrival of the blood pulse wave in two distal body locations, (c) the development of robust and sensitive heart rate variability measures that can detect the presence of minor mental stress and (d) the design of change point detection algorithms that can identify the time points corresponding to stationarity changes in the underlying body response signal. Our initial results show that it is possible to detect mental stress in a non-contact manner, suggesting that the development of a remote, covert stress detection system is feasible.
Biography:
Vicky Ikonomidou earned the Diploma in Engineering (MSc) degree and the PhD in Electrical Engineering from the Aristotle University of Thessaloniki, Greece, in 1997 and 2002 respectively. Her PhD thesis focused on the development of excitation techniques for magnetic resonance tagging. In May 2003 she joined the intramural program of the National Institute of Neurological Disorders and Stroke (NINDS) of the NIH (Bethesda, MD), as a Visiting Fellow in the Laboratory for Functional and Molecular Imaging, Advanced MRI Section, working under Dr. Jeff Duyn in the development of high-contrast anatomical MRI techniques. In May 2006, she joined the Neuroimmunology Branch of NINDS, where she worked on brain imaging, using MRI and PET, in patients with Multiple Sclerosis. Since August 2009, she has been with George Mason University, where she is an Assistant Professor of Bioengineering, and the MRI Physicist of the Krasnow Institute for Advanced Study. Her research interests are in the fields of video analytics for stress detection and image processing for MRI for patients with neurodegenerative diseases. Dr. Ikonomidou has co-authored 22 papers in peer-reviewed journals, and is a member of ISMRM and IEEE.
The Seminars is open to the public free of charge.
*For further information, please contact Dr. John Buck at 508.999.9237, or by via email at jbuck@umassd.edu.
Contact:
ECE: Electrical & Computer Engineering Department 508.999.9164 http://www.umassd.edu/engineering/ece/
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering