Recent developments in sensing and communication technologies have led to an explosion
in the use of mobile devices such as smart phones and tablets. With the increase in the use …

With the recent development of microelectromechanical systems (MEMS), inertial sensors
have become widely used in the research of wearable gait analysis due to several factors …

Compared to other biometrics, gait is difficult to conceal and has the advantage of being
unobtrusive. Inertial sensors, such as accelerometers and gyroscopes, are often used to …

The scientific literature on automated gait analysis for human recognition has grown
dramatically over the past 15 years. A number of sensing modalities including those based …

Here, we present IDNet, a user authentication framework from smartphone-acquired motion
signals. Its goal is to recognize a target user from their way of walking, using the …

The wide spread usage of wearable sensors such as in smart watches has provided
continuous access to valuable user generated data such as human motion that could be …

We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

Gait is the locomotion attained through the movement of limbs and gait analysis examines
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …

Continuous authentication has been proposed as a possible approach for passive and
seamless user authentication, using sensor data comprising biometric, behavioral, and …

Mobile devices such as smartphones and smartwatches are part of our everyday life,
acquiring large amount of personal information that needs to be properly secured. Among …