Deep gait recognition: A survey
A Sepas-Moghaddam, A Etemad - IEEE transactions on pattern …, 2022 - ieeexplore.ieee.org
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 …
on the way they walk. Deep learning has reshaped the research landscape in this area …
A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work
Human gait is a periodic motion of body segments—the analysis of motion and related
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …
Gait recognition in the wild with dense 3d representations and a benchmark
Existing studies for gait recognition are dominated by 2D representations like the silhouette
or skeleton of the human body in constrained scenes. However, humans live and walk in the …
or skeleton of the human body in constrained scenes. However, humans live and walk in the …
[HTML][HTML] A survey of human gait-based artificial intelligence applications
EJ Harris, IH Khoo, E Demircan - Frontiers in Robotics and AI, 2022 - frontiersin.org
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …
focus on human gait studies and apply machine learning techniques. We identified six key …
Latest research trends in gait analysis using wearable sensors and machine learning: A systematic review
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 …
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …
On learning disentangled representations for gait recognition
Gait, the walking pattern of individuals, is one of the important biometrics modalities. Most of
the existing gait recognition methods take silhouettes or articulated body models as gait …
the existing gait recognition methods take silhouettes or articulated body models as gait …
[HTML][HTML] Machine learning for industry 4.0: a systematic review using deep learning-based topic modelling
D Mazzei, R Ramjattan - Sensors, 2022 - mdpi.com
Machine learning (ML) has a well-established reputation for successfully enabling
automation through its scalable predictive power. Industry 4.0 encapsulates a new stage of …
automation through its scalable predictive power. Industry 4.0 encapsulates a new stage of …
[HTML][HTML] Efficient palmprint biometric identification systems using deep learning and feature selection methods
Over the past two decades, several studies have paid great attention to biometric palmprint
recognition. Recently, most methods in literature adopted deep learning due to their high …
recognition. Recently, most methods in literature adopted deep learning due to their high …
EarGate: gait-based user identification with in-ear microphones
Human gait is a widely used biometric trait for user identification and recognition. Given the
wide-spreading, steady diffusion of ear-worn wearables (Earables) as the new frontier of …
wide-spreading, steady diffusion of ear-worn wearables (Earables) as the new frontier of …
A survey of privacy vulnerabilities of mobile device sensors
The number of mobile devices, such as smartphones and smartwatches, is relentlessly
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …