Multimodal machine learning (MML) is a tempting multidisciplinary research area where
heterogeneous data from multiple modalities and machine learning (ML) are combined to …

Visual surveillance has exponentially increased the growth of security devices and systems
in the digital era. Gait-based person identification is an emerging biometric modality for …

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 …

Human gait recognition (HGR) shows high importance in the area of video surveillance due
to remote access and security threats. HGR is a technique commonly used for the …

Human facial expressions change with different states of health; therefore, a facial-
expression recognition system can be beneficial to a healthcare framework. In this paper, a …

Human gait analysis is a novel topic in the field of computer vision with many famous
applications like prediction of osteoarthritis and patient surveillance. In this application, the …

Vision-based person identification using gait is one of the important and challenging tasks in
the fields of computer vision and machine learning. It has received significant research …

People identification using gait information (ie, the way a person walks) obtained from
inertial sensors is a robust approach that can be used in multiple situations where vision …

People identification in video based on the way they walk (ie, gait) is a relevant task in
computer vision using a noninvasive approach. Standard and current approaches typically …

Human gait or walking manner is a biometric feature that allows identification of a person
when other biometric features such as the face or iris are not visible. In this study, the …