In this series, we present the various types of biometrics and explore their use for authentication and beyond. In our latest blog post, we spoke about mouse use characteristics and analyzed their use cases and advantages for both companies and end-users alike. Now we look into voice ID and gait analysis.
Gait analysis has been used in the sportswear industry for decades. It’s not only a fancy shoe store addition but can represent a biometrics authentication factor. The way we move or walk has also been used for various medical reasons in physical therapy and rehabilitation, aiming to help patients suffering from different diseases or inabilities. In the medical circles, constant advancements are achieved, and recently, there are also references on normal or pathologic gait.
How does it work?
Kinematics, movement patterns, kinetics as well as the forces involved in producing those movements are analyzed, and data is generated. On mobile devices, the gyroscope is used to gather information and fitness trackers can detect various movements and create individual profiles.
The technology analyzing specific traits of how people walk or move is already used for other purposes than a medical diagnosis. Smart vehicles are one example. The technology is used to identify the person entering a vehicle. If the gait analysis returns a known behavior, the car will automatically open, enabling a futuristic, keyless experience.
With time, for authentication requiring a lower threshold of security, gait analyzing apps will be a very convenient and nonintrusive method to verify identity.
Still, there are some disadvantages that will not make this technology gain momentum very soon. The hardware needed to authenticate a user makes it a no go. Also, the accuracy is very low compared to other biometrics widely used, such as face ID or typing biometrics.
Each individual can be identified based on the unique biological characteristics of the voice. The speech recognition, known as ASR(automatic speech recognition) was first introduced in 1952 and allowed a machine to recognize single digits spoken by a person.
Today, software programs allow people to train ASR and accurately translate speech to text. This biometrics technology is not only circumventing the user experience problem of hard-to-remember-passwords but has also enabled visually impaired persons to make use of computers.
The use cases vary, from medical devices to military. Also, the US has used this technology for more than ten years to ensure that prisoners incarcerated in their homes were actually there.
In the past years, due to improved accuracy of ASR, voice recognition has also been used to verify the identity of users. A successful use case is authentication for clients who contact call centers. Several banking institutions have also implemented this technology to verify the identity of their customers.
Passwords alone are not safe anymore. There is a multitude of use cases where they can’t be implemented or the level of security requires another security factor. Biometrics represent a viable alternative and in the next years, they will be used more frequently.
Voice ID recognition has excellent potential to become the next generation authentication method, competing with other nonintrusive and very accurate factors such as typing biometrics.