Deep learning (DL) pipelines have evolved for over a decade now and are efficient at
solving many challenging problems of image and signal processing applications. Designing …

Gait recognition is an essential biometric technique that recognizes humans at a distance
through their unique walking style. In the present era of deep learning, automated gait …

In recent times, deep artificial neural networks have achieved many successes in pattern
recognition. Part of this success can be attributed to the reliance on big data to increase …

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 …

Gait recognition is a biometric technology that identifies people by their walking patterns.
The silhouettes-based method and the skeletons-based method are the two most popular …

Inertial Measurement Units (IMUs)-based gait analysis is a promising and attractive
approach for user recognition. Recently, the adoption of deep learning techniques has …

Biometrics on mobile devices has attracted a lot of attention in recent years as it is
considered a user-friendly authentication method. This interest has also been motivated by …

This paper presents a novel approach to human gait analysis with a sensor-based
technique involving a wearable inertial measurement unit (IMU). The proposed system …

Over the past decade, Deep Learning (DL) pipelines have undergone significant evolution
and demonstrated effectiveness in addressing complex challenges within artificial …

Wearable sensor-based systems and devices have been expanded in different application
domains, especially in the healthcare arena. Automatic age and gender estimation has …