Dr. A. ShahinaProfessor, Department of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Anna University, Chennai, India
Speech Title: Otoacoustic Emission as a viable biometric for person identification
Abstract: Biometrics, which have become integrated with our daily lives, could fall prey to falsification attacks. For example, the fingerprint of a user can be easily forged using cheap and readily available gelatin and mould. Researchers at McAfee, the cyber security firm, have been able to trick the facial recognition system to falsely recognise the image of person A that is presented to the system, as that of person B by using an image translation algorithm known as CycleGAN. This could lead to security concerns. In this talk I will be discussing the feasibility of using Otoacoustic Emissions (OAE) as a viable biometric modality that is robust to falsification attacks. Otoacoustic Emissions are generated by the human cochlea in response to an external sound stimulus. I will be discussing how, using both the raw 1D OAE signals as well as the 2D time-frequency representation of the signal using Continuous Wavelet Transform (CWT), we achieve state-of-the-art results in real time, with the added advantage of robustness to falsification attacks.
Biography: Shahina works on applying machine learning and deep learning algorithms in the fields of healthcare, security and surveillance. Her mission is to create artificial intelligence based systems that better the lives of people and society. Her current research work includes diagnosing pneumonia and pulmonary embolism from chest images, speech and speaker recognition using chaotic theory, person authentication using otoacoustic emissions, and autonomous drone navigation using deep reinforcement learning.