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Developments in the human machine interface technologies and their applications: a review
HP Singh, P Kumar - Journal of medical engineering & technology, 2021 - Taylor & Francis
Human-machine interface (HMI) techniques use bioelectrical signals to gain real-time
synchronised communication between the human body and machine functioning. HMI …
synchronised communication between the human body and machine functioning. HMI …
Utilizing deep neural nets for an embedded ECG-based biometric authentication system
This work presents a low-power, embedded ECG pattern recognition system for the purpose
of biometric authentication. We believe that ECG coupled with a secondary biometric marker …
of biometric authentication. We believe that ECG coupled with a secondary biometric marker …
Fingerprint classification using a deep convolutional neural network
Biometric systems detect authenticity based on users' distinct physiological or behavioral
characteristics for purposes of identification and access control. These pattern recognition …
characteristics for purposes of identification and access control. These pattern recognition …
An implicit identity authentication system considering changes of gesture based on keystroke behaviors
J Wu, Z Chen - International Journal of Distributed Sensor …, 2015 - journals.sagepub.com
Smartphones have become ubiquitous personal devices so that much of sensitive and
private information will be saved in the phone, and users have their own unique behavioral …
private information will be saved in the phone, and users have their own unique behavioral …
Multi-instance iris recognition
VA Bharadi, DN Shah, NT Thapa… - 2018 Fourth …, 2018 - ieeexplore.ieee.org
Human irises are very rich in texture and have a high degree of uniqueness. This texture
information can be used for identification of a human being. Information extracted from the …
information can be used for identification of a human being. Information extracted from the …
Multi-modal biometric recognition using human iris and dynamic pressure variation of handwritten signatures
Physiological traits containing information extracted from human organs such as fingers,
ears, eyes, palm prints, and knuckles can be used for biometric recognition. In addition …
ears, eyes, palm prints, and knuckles can be used for biometric recognition. In addition …
[PDF][PDF] Image classification using deep learning
V Bharadi, AI Mukadam, MN Panchbhai… - International journal of …, 2017 - academia.edu
Image Classification nowadays is used to narrow the gap between the computer vision and
human vision so that the images can be recognized by machines in the same way as we …
human vision so that the images can be recognized by machines in the same way as we …
[PDF][PDF] Authentication systems: Principles and threats
Identity manipulation is considered a serious security issue that has been enlarged with the
spread of automated systems that could be accessed either locally or remotely. Availability …
spread of automated systems that could be accessed either locally or remotely. Availability …
Minutiae based automatic fingerprint recognition: Machine learning approaches
Personnel identification has become a mandatory requirement in a large number of
applications extending from security to commercial nature in recent years. Identification …
applications extending from security to commercial nature in recent years. Identification …
[PDF][PDF] Multimodal biometric authentication: secured encryption of iris using fingerprint ID
Securing data storage using biometrics is the current trend. Different physiological as well as
behavioral biometrics like face, fingerprint, iris, Gait, voice etc.. is used in providing security …
behavioral biometrics like face, fingerprint, iris, Gait, voice etc.. is used in providing security …