In recent years, marked progress has been made in wearable technology for human motion
and posture recognition in the areas of assisted training, medical health, VR/AR, etc. This …

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 …

This paper presents the largest inertial sensor-based gait database in the world, which is
made open to the research community, and its application to a statistically reliable …

Gait, as a promising biometric for recognizing human identities, can be nonintrusively
captured as a series of acceleration signals using wearable or portable smart devices. It can …

Gait is a biometric trait that can allow user authentication, though it is classified as a “soft”
one due to a certain lack in permanence and to sensibility to specific conditions. The earliest …

With the rapid development of wearable Internet of Things (WIoT) devices, a significant
amount of sensitive/private information collected by them poses a considerable challenge to …

Gait has been considered as a promising and unique biometric for person identification.
Traditionally, gait data are collected using either color sensors, such as a CCD camera …

The ever-growing threats of security and privacy loss from unauthorized access to mobile
devices have led to the development of various biometric authentication methods for easier …

This paper tackles a challenging problem of inertial sensor-based recognition for similar gait
action classes (such as walking on flat ground, up/down stairs, and up/down a slope). We …