A multifaceted role of biometrics in online security, privacy, and trustworthy decision making
Automatic decision-making, especially when dealing with crucial cybersecurity and privacy
issues, has become one of the key directions in digital identity research. Trustworthy human …
issues, has become one of the key directions in digital identity research. Trustworthy human …
Learning 3D spatiotemporal gait feature by convolutional network for person identification
For person identification in non-interaction biometric systems, gait recognition has been
recently encouraged in literature and industrial applications instead of face recognition …
recently encouraged in literature and industrial applications instead of face recognition …
Frailty level classification of the community elderly using Microsoft Kinect-based skeleton pose: a machine learning approach
Frailty is one of the most important geriatric syndromes, which can be associated with
increased risk for incident disability and hospitalization. Developing a real-time classification …
increased risk for incident disability and hospitalization. Developing a real-time classification …
3D gait recognition based on a CNN-LSTM network with the fusion of SkeGEI and DA features
Gait recognition is a promising technology in biometrics in video surveillance applications
for its characteristics of non-contact and uniqueness. With the popularization of the Kinect …
for its characteristics of non-contact and uniqueness. With the popularization of the Kinect …
Gait-based person identification, gender classification, and age estimation: a review
In this era where both techniques and technology are going digital, there is a need of
designing and developing such a system that automatically identifies the person and also …
designing and developing such a system that automatically identifies the person and also …
Human identification system using 3D skeleton-based gait features and LSTM model
M Rashmi, RMR Guddeti - Journal of Visual Communication and Image …, 2022 - Elsevier
Vision-based gait emerged as the preferred biometric in smart surveillance systems due to
its unobtrusive nature. Recent advancements in low-cost depth sensors resulted in …
its unobtrusive nature. Recent advancements in low-cost depth sensors resulted in …
Residual connection-based graph convolutional neural networks for gait recognition
The walking manner of a person, also known as gait, is a unique behavioral biometric trait.
Existing methods for gait recognition predominantly utilize traditional machine learning …
Existing methods for gait recognition predominantly utilize traditional machine learning …
The invisible shadow: How security cameras leak private activities
This paper presents a new privacy threat, the Invisible Infrared Shadow Attack (IRSA), which
leverages the inconspicuous infrared (IR) light emitted by indoor security cameras, to reveal …
leverages the inconspicuous infrared (IR) light emitted by indoor security cameras, to reveal …
Multiview gait recognition on unconstrained path using graph convolutional neural network
Human gait recognition is a valuable biometric trait with vast applications in security domain.
In most situations, the gait data is collected while the subject walks straight. Thus, the …
In most situations, the gait data is collected while the subject walks straight. Thus, the …
[PDF][PDF] Human activity recognition using the human skeleton provided by kinect
In this paper, a new method is proposed for people tracking using the human skeleton
provided by the Kinect sensor, Our method is based on skeleton data, which includes the …
provided by the Kinect sensor, Our method is based on skeleton data, which includes the …