IAPR 2019 Biometrics Lecture: Eye Movement Detection Sensors, Biometrics, and Health Assessment
The availability of eye movement detection sensors is set to explode, with billions of units available in future Virtual Reality (VR) and Augmented Reality (AR) platforms. In my talk I will discuss the past, present, and future of such sensors and their applications. I will discuss both the applications that initially necessitate the presence of such sensors in VR/AR devices, along with additional uses that would be enabled by those sensors such as eye movement driven biometrics and health assessment.
Dr. Komogortsev is currently a tenured Associate Professor at Texas State University and a Visiting Scientist at Facebook Reality Labs at Facebook. Dr. Komogortsev has received his B.S. in Applied Mathematics from Volgograd State University, Russia, and M.S./Ph.D. degree in Computer Science from Kent State University, Ohio. He has previously worked for such institutions as Johns Hopkins University, Notre Dame University, and Michigan State University. Dr. Komogortsev conducts research in eye tracking with a focus on cyber security (biometrics), health assessment, human computer interaction, usability, and bioengineering. This work has thus far yielded more than 100 peer reviewed publications and several patents. Dr. Komogortsev’s research was covered by the national media including NBC News, Discovery, Yahoo, Livesience and others. Dr. Komogortsev is a recipient of four Google awards including two Virtual Reality Research Awards (2016, 2017), Google Faculty Research Award (2014), and Google Global Faculty Research Award (2018). Dr. Komogortsev has also won National Science Foundation CAREER award and Presidential Early Career Award for Scientists and Engineers (PECASE) from President Barack Obama on the topic of cybersecurity with the emphasis on eye movement-driven biometrics and health assessment. In addition, his research is supported by the National Science Foundation, National Institute of Health, National Institute of Standards, Sigma Xi the Scientific Research Society, and various industrial sources. Dr. Komogortsev’s current grand vision is to push forward eye tracking solutions in the future virtual and augmented reality platforms as enablers of more immersive experiences, security, and assessment of human state.
Face Recognition - Research and Recent Advances
Face recognition has achieved great success and has been deployed in many applications in recent years. In this talk, he’ll first share his experience in face recognition research, along with the introduction of some face recognition applications. Then, some recent progress, especially deep learning methods in face recognition, including face detection, face alignment, face recognition and face anti-spoofing will be introduced. Finally, he will give a personal look into the future of face recognition.
Zhen Lei is a professor at the Center for Biometrics and Security Research (CBSR) & National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences. His research interest includes face recognition and video analytics. He has published over 130 papers in international journals and conferences. He holds 11 invention patents and has drawn up 7 standards of public security. He received the Best Student Paper in ICB2006, 2014 and 2015, the Best Paper in ICB2007, the Best Student Paper Honorable Mention in FG2013, the Best Student Paper Honorable Mention in ICME2018. He won the competition of facial micro-expression recognition in FG2017, won the 300-w face landmark localization held in ICCV2013, and won the face liveness detection in ICB2011 and 2013.