Analysis of Bio-signal based Biometrics Application Technique Trends for Smart Connected Car

Abstract

Current research in automobile security conducts driver authentication inside and outside the vehicle. There are two general methods of authenticating drivers being researched: one through direct contact with a sensor, and the other through a non-contact method. As authenticating drivers through the non-contact method has a lower driver recognition performance than the contact method, drivers may not be accurately identified. The technology of authenticating drivers by contact works by acquiring a biometric signal from drivers. Bio-signals show limitations in the ease of data acquisition, and its application. However, they have been studied in various fields due to their numerous advantages, such as being difficult to forge or alter, and their lower rate of rejection compared to existing biometric information in smart connected car environments. In this paper, we analyze the recent studies on bio- signals that use ECG (Electrocardiogram) and EMG (Electromyography) and confirm the possibility of application of this technology as it is expected that biometrics system technologies suitable for real-time environments would be researched with bio-signals acquired in the driver’s complex state.