Lateral walking gait detection is necessary for the development of wearable devices applied
to side stepping. To our knowledge, rarely work has been conducted to identify lateral …

The performance of human gait recognition (HGR) is affected by the partial obstruction of the
human body caused by the limited field of view in video surveillance. The traditional method …

This paper proposes a new approach of demodulating the spectra of tilted fiber Bragg
grating (TFBG) based refractive-index (RI) sensor by employing convolutional neural …

Bolt-ball joints are widely used in space structures, and their looseness may lead to major
safety accidents. The current bolt monitoring methods based on deep learning usually have …

Smart wearable devices (SWDs) collect and store sensitive daily information of many
people. Its primary method of identification is still the password unlocking method. However …

The gait of a subject follows a specific pattern, but variations exist that are unique to a
subject but contrasting to other subjects. This can be utilized for biometric authentication to …

This paper presents a novel automated model for the detection of diabetic retinopathy (DR),
a common retinal disease caused by high blood sugar levels. Early detection of DR is …

Human activity recognition (HAR) has attracted considerable research attention in the past
decade with the development of wearable sensor technology and deep learning algorithms …

Pedestrian dead reckoning (PDR) using inertial sensors has paved the way for developing
several approaches to step length estimation. In particular, emerging step length estimation …

The paper explores the challenge of human identification through gait recognition within
biometric identification systems. It outlines the essential criteria for human biometric features …