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 …
Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges
Human gait provides a way of locomotion by combined efforts of the brain, nerves, and
muscles. Conventionally, the human gait has been considered subjectively through visual …
muscles. Conventionally, the human gait has been considered subjectively through visual …
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 …
Human gait recognition: A systematic review
A biometric system is a technology that utilizes an individual's unique physiological and
behavioral characteristics to identify and authenticate them. It falls under the category of …
behavioral characteristics to identify and authenticate them. It falls under the category of …
The humanid gait challenge problem: Data sets, performance, and analysis
Identification of people by analysis of gait patterns extracted from video has recently become
a popular research problem. However, the conditions under which the problem is" solvable" …
a popular research problem. However, the conditions under which the problem is" solvable" …
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 …
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 …
[图书][B] Human identification based on gait
Human Identification Based on Gait is the first book to address gait as a biometric.
Biometrics is now in a unique position where it affects most people's lives. This is especially …
Biometrics is now in a unique position where it affects most people's lives. This is especially …
Human gait activity recognition machine learning methods
Human gait activity recognition is an emerging field of motion analysis that can be applied in
various application domains. One of the most attractive applications includes monitoring of …
various application domains. One of the most attractive applications includes monitoring of …
Wearable devices for gait analysis in intelligent healthcare
X Liu, C Zhao, B Zheng, Q Guo, X Duan… - Frontiers in Computer …, 2021 - frontiersin.org
In this study, we review the role of wearable devices in tracking our daily locomotion. We
discuss types of wearable devices that can be used, methods for gait analyses, and multiple …
discuss types of wearable devices that can be used, methods for gait analyses, and multiple …