Deep learning for monitoring of human gait: A review
AS Alharthi, SU Yunas, KB Ozanyan - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
The essential human gait parameters are briefly reviewed, followed by a detailed review of
the state of the art in deep learning for the human gait analysis. The modalities for capturing …
the state of the art in deep learning for the human gait analysis. The modalities for capturing …
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 …
Deep learning-based gait recognition using smartphones in the wild
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 …
unobtrusive. Inertial sensors, such as accelerometers and gyroscopes, are often used to …
Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches
The study of gait recognition, a biometric application that identifies individuals based on their
unique walking patterns, is an evolving field. In this paper, we conduct a literature review to …
unique walking patterns, is an evolving field. In this paper, we conduct a literature review to …
On input/output architectures for convolutional neural network-based cross-view gait recognition
In this paper, we discuss input/output architectures for convolutional neural network (CNN)-
based cross-view gait recognition. For this purpose, we consider two aspects: verification …
based cross-view gait recognition. For this purpose, we consider two aspects: verification …
Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review
This paper presents a comprehensive exposition of deep learning architectures and
pipelines for biometric applications using complex characteristics of human gait. The variety …
pipelines for biometric applications using complex characteristics of human gait. The variety …
Gaitnet: An end-to-end network for gait based human identification
Gait recognition is one of the most important techniques for human identification at a
distance. Most current gait recognition frameworks consist of several separate steps …
distance. Most current gait recognition frameworks consist of several separate steps …
A survey on gait recognition
C Wan, L Wang, VV Phoha - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Recognizing people by their gait has become more and more popular nowadays due to the
following reasons. First, gait recognition can work well remotely. Second, gait recognition …
following reasons. First, gait recognition can work well remotely. Second, gait recognition …
Learning effective gait features using LSTM
Human gait is an important biometric feature for person identification in surveillance videos
because it can be collected at a distance without subject cooperation. Most existing gait …
because it can be collected at a distance without subject cooperation. Most existing gait …
Intra-class variations with deep learning-based gait analysis: A comprehensive survey of covariates and methods
Gait recognition is an essential biometric technique that recognizes humans at a distance
through their unique walking style. In the present era of deep learning, automated gait …
through their unique walking style. In the present era of deep learning, automated gait …