Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …

The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …

Fall happens when a person's movement coordination is disturbed, forcing them to rest on
the ground unintentionally causing serious health risks. The objective of this work is to …

Improving the performance of gait recognition under multiple camera views (ie, cross-view
gait recognition) and various conditions is urgent. From observation, we find that adjacent …

Gait is commonly defined as the movement pattern of the limbs over a hard substrate, and it
serves as a source of identification information for various computer-vision and image …

Gait recognition is becoming one of the promising methods for biometric authentication
owing to its self-effacing nature. Contemporary approaches of joint position-based gait …

In recent years, Convolutional Neural Networks (CNN) have proven to be efficient analysis
tools for processing point clouds, eg, for reconstruction, segmentation, and classification. In …

Real-time spatiotemporal parameter measurement for gait analysis is challenging. Previous
techniques for 3D motion analysis, such as inertial measurement units, marker based motion …

In recent years, machining learning aided diagnosis can provide non-invasive, low-cost
tools to support clinicians and assist the diagnosis and monitoring of neurodegenerative …

Currently, hand motion recognition of single‐modality data has been extensively explored
for the analysis of various contact and noncontact sensors, and it is recognized that all the …