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 …
[HTML][HTML] Human gait recognition subject to different covariate factors in a multi-view environment
Gait recognition provides the opportunity to identify different walking styles of people without
physical intervention. However, covariates such as changing clothes and carrying conditions …
physical intervention. However, covariates such as changing clothes and carrying conditions …
[HTML][HTML] Computer Vision-Based Gait Recognition on the Edge: A Survey on Feature Representations, Models, and Architectures
E Salcedo - Journal of Imaging, 2024 - mdpi.com
Computer vision-based gait recognition (CVGR) is a technology that has gained
considerable attention in recent years due to its non-invasive, unobtrusive, and difficult-to …
considerable attention in recent years due to its non-invasive, unobtrusive, and difficult-to …
Preliminary Experiments of a Real-World Authentication Mechanism Based on Facial Recognition and Fully Homomorphic Encryption
G Crihan, L Dumitriu, MV Crăciun - Applied Sciences, 2024 - mdpi.com
In the current context in which user authentication is the first line of defense against
emerging attacks and can be considered a defining element of any security infrastructure …
emerging attacks and can be considered a defining element of any security infrastructure …
Accurate person identification based on combined sit-to-stand and stand-to-sit movements measured using Doppler radars
K Saho, K Shioiri, K Inuzuka - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
This article demonstrates the identification of 10 persons with 99% accuracy achieved by
combining micro-Doppler signatures of sit-to-stand and stand-to-sit movements. Data from …
combining micro-Doppler signatures of sit-to-stand and stand-to-sit movements. Data from …
Prognostics based on the generalized diffusion process with parameters updated by a sequential Bayesian method
H Pei, X Si, C Hu, J Zhang, D Du, Z Pang… - Science China …, 2022 - Springer
The realistic degradation process for the engineering equipment is generally stochastic and
complicated owing to the uncertain operational condition and multiple functional loading …
complicated owing to the uncertain operational condition and multiple functional loading …
Device-free user authentication, activity classification and tracking using passive Wi-Fi sensing: a deep learning-based approach
V Jayasundara, H Jayasekara… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Growing concerns over privacy invasion due to video camera based monitoring systems
have made way to non-invasive Wi-Fi signal sensing based alternatives. This paper …
have made way to non-invasive Wi-Fi signal sensing based alternatives. This paper …
An adaptive threshold based gait authentication by incorporating quality measures
In this paper, an adaptive threshold-based gait authentication model is proposed, which
incorporates the quality measure in the distance domain and maps them into the gradient …
incorporates the quality measure in the distance domain and maps them into the gradient …
Discriminative multiscale cnn network for smartphone based robust gait recognition
A smartphone-based gait recognition system is very interesting research in surveillance. Its
goal is to recognize a target user from their walking pattern using the inertial signal …
goal is to recognize a target user from their walking pattern using the inertial signal …
Person identification based on micro-Doppler signatures of sit-to-stand and stand-to-sit movements using a convolutional neural network
K Saho, K Inuzuka, K Shioiri - IEEE Sensors Letters, 2020 - ieeexplore.ieee.org
This letter presents a method for person identification based on sit-to-stand and stand-to-sit
movements using micro-Doppler radar measurements and a convolutional neural network …
movements using micro-Doppler radar measurements and a convolutional neural network …