This white paper from research and consulting company Goode Intelligence (GI), sponsored by B-Secur, explores how ECG biometric technology can be leveraged by the automobile industry for a range of use cases that include identification, authentication and health, wellness and wellbeing.
Author: Goode Intelligence
Publication Date: Jun 25 2018
Number of Pages: 9
As biometric technology has proved itself for smart mobile devices and an increasing range of IoT devices, biometrics is beginning to be supported by cars. The ability for a connected car to accurately identify who you are has become a crucial function in the development of next-generation personal transportation systems. Biometrics not only provides a convenient way to identity a person but also enables automotive OEMs to accurately detect the health and wellbeing of both drivers and passengers alike. This is important with the development of autonomous vehicles supported by ride-sharing applications that need to know who is in the vehicle and how they are feeling.
For the connected car market, biometrics not only provides a convenient way to identity who you but enables automotive OEMs to accurately detect the health and wellbeing of both drivers and passengers alike.
The first wave of biometric adoption has seen billions of consumers benefit from convenient identification and authentication allowing them to protect expensive smart mobile devices and to access digital services.
We are witnessing the second wave of biometric adoption where new biometric modalities, such as heartbeat (ECG), are providing device OEMs and service providers with technology that supports multiple applications and use cases.
IoT and auto OEMs are turning to heartbeat biometric technology to support a range of applications including secure vehicle access control, in-car identification to start the vehicle and access personalised services, enabling in-car payments and providing medical feedback to prevent accidents. Supporting all of these use cases cannot be singularly achieved through non-heartbeat biometric modalities.
