Objective assessment of an athlete's performance is of importance in elite sports to facilitate
detailed analysis. The implementation of automated detection and recognition of sport …

Gait analysis continues to be an important technique for many clinical applications to
diagnose and monitor certain diseases. Many mental and physical abnormalities cause …

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 …

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 …

Smartphones as ubiquitous gadgets are rapidly becoming more intelligent and context-
aware as sensing, networking, and processing capabilities advance. These devices provide …

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 …

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 …

In the digital world of today, global security issues have given rise to video surveillance
devices. Gait-based human recognition is an emerging behavioral biometric trait for …

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 …

Medication non-adherence is a prevalent, complex problem. Failure to follow medication
schedules may lead to major health complications, including death. Proper medication …