Listen to our latest episode in the ‘Health at Heart‘ podcast series featuring Dr David Steinhaus
“We are on the precipice of seeing ECG technology coming out of the hospital and into the home, within everyday devices.”
For those looking to deploy biometric technology in their organisation, or in their products, what are the key things that you would advise them to consider?
Understanding the potential of each biometric modality and their corresponding use cases is essential alongside the benefits for implementing each, for example, comprehending the impact of stress in the workplace or reducing staff absence and turnover. And of course, the efficient management and security of health data – something that is often sensitive and personal. We’re also seeing a growing and significant ecosystem where all devices have IoT connectivity and consumers will be able to access their ECG health and wellness information all day, every day. We believe this will be a fundamental development in how individuals manage their health.
“There’s a wealth of information and data coming from the human body that we’re beginning to collect, and machine learning and AI are the tools we can use to ensure we’re getting the full benefit. Your car, your phone or your watch can help you live a longer and healthier life.” Ben Carter, B-Secur CCO
So looking at how the use of biometrics technology can improve our everyday lives, what do you think the future has in store? Machine Learning (ML) and AI technology will unlock new insights into the data we’re collecting. When applied to biometric tech we can rapidly increase the security of our systems by utilising features that would not have been obvious or recognised with traditional methods. As biometrics become more accepted multi-modal solutions are becoming more popular to further increase security; ML and AI provides a reliable method of collating and integrating these technologies into a seamless experience for the user, managing the system inputs to determine the appropriate modalities and parameters to use.
The data collected during a biometric authentication doesn’t necessarily need to be limited to security. Some biometrics can reveal more information about a person, for example ECG can give us heart health and stress data whereas facial recognition gives us basic emotional mapping which can feed into a wider IoT system – for example to create smart cities that can predict when and where people will be more stressed or tired due to external events and therefore may be more likely to be involved in an accident. There’s a wealth of information and data coming from the human body that we’re beginning to collect, and machine learning and AI are the tools we can use to ensure we’re getting the full benefit. Your car, your phone or your watch can help you live a longer and healthier life.