scholarly journals Adapting to Movement Patterns for Face Recognition on Mobile Devices

2021 ◽  
pp. 209-228
Author(s):  
Matthew Boakes ◽  
Richard Guest ◽  
Farzin Deravi
Keyword(s):  
Face Recognition ◽  
Mobile Devices ◽  
Movement Patterns

Secure Examination Management System for M-Learning (SEMS)

2017 ◽  
Vol 2 (2) ◽  
pp. 31-35
Author(s):  
Akshada Abnave ◽  
Charulata Banait ◽  
Mrunalini Chopade ◽  
Supriya Godalkar ◽  
Soudamini Pawar ◽  
...  
Keyword(s):  
Face Recognition ◽  
Social Interactions ◽  
Mobile Devices ◽  
Management System ◽  
Mobile Apps ◽  
Smart Phones ◽  
Examination System ◽  
Open Environment ◽  
Exchange Information ◽  
Personal Mobile Devices

M-learning or mobile learning is defined as learning through mobile apps, social interactions and online educational hubs via Internet or network using personal mobile devices such as tablets and smart phones. However, in such open environment examination security is most challenging task as students can exchange mobile devices or also can exchange information through network during examination. This paper aims to design secure examination management system for m- learning and provide appropriate mechanism for anti- impersonation to ensure examination security. The users are authenticated through OTP. To prevent students from exchanging mobile devices during examination, system re-authenticates students automatically through face recognition at random time without interrupting the test. The system also provides external click management i.e. prevent students from accessing online sites and already downloaded files during examination.

Face Recognition on Mobile Devices Based on Frames Selection

2019 ◽  
pp. 316-325
Author(s):  
Nelson Méndez-Llanes ◽  
Katy Castillo-Rosado ◽  
Heydi Méndez-Vázquez ◽  
Souad Khellat-Kihel ◽  
Massimo Tistarelli
Keyword(s):  
Face Recognition ◽  
Mobile Devices

Built-in face recognition for smart photo sharing in mobile devices

2011 ◽  
Author(s):  
Esteban Vazquez-Fernandez ◽  
Hugo Garcia-Pardo ◽  
Daniel Gonzalez-Jimenez ◽  
Luis Perez-Freire
Keyword(s):  
Face Recognition ◽  
Mobile Devices ◽  
Photo Sharing

scholarly journals Eye-movement patterns in face recognition are associated with cognitive decline in older adults

2018 ◽  
Vol 25 (6) ◽  
pp. 2200-2207 ◽  
Author(s):  
Cynthia Y. H. Chan ◽  
Antoni B. Chan ◽  
Tatia M. C. Lee ◽  
Janet H. Hsiao
Keyword(s):  
Older Adults ◽  
Face Recognition ◽  
Cognitive Decline ◽  
Eye Movement ◽  
Movement Patterns

scholarly journals A Web-Based Mobile Attendance System with Facial Recognition Feature

2020 ◽  
Vol 14 (05) ◽  
pp. 193
Author(s):  
Noradila Nordin ◽  
Nurul Husna Mohd Fauzi
Keyword(s):  
Face Recognition ◽  
Mobile Devices ◽  
Conventional Method ◽  
Facial Recognition ◽  
Recognition System ◽  
Web Based ◽  
Face Recognition System ◽  
The Face ◽  
System Prototype

Attendance marking in a classroom is one of the methods used to track the student’s presence in the lecture. The conventional method that is being enforced has shown to be vulnerable, inaccurate and time-consuming especially in a large classroom. It is difficult to identify absentees and proxy attendees based on the conventional attendance marking method. In order to overcome the challenges faced in the conventional method, a web-based mobile attendance system with facial recognition feature is proposed. It incorporated the existing mobile devices with a camera and the face recognition system to allow the attendance system to be used in classrooms automatically and efficiently with minor implementation requirements. The system prototype received positive responses from the volunteers who tested the system to replace the conventional attendance marking.

Selective generation of Gabor features for fast face recognition on mobile devices

2013 ◽  
Vol 34 (13) ◽  
pp. 1540-1547 ◽  
Author(s):  
Jiyong Oh ◽  
Sang-Il Choi ◽  
Chunghoon Kim ◽  
Jungchan Cho ◽  
Chong-Ho Choi
Keyword(s):  
Face Recognition ◽  
Mobile Devices ◽  
Gabor Features ◽  
Selective Generation

scholarly journals Analytic eye movement patterns in face recognition are associated with enhanced face recognition performance and top-down control of visual attention

2017 ◽  
Vol 17 (10) ◽  
pp. 1144
Author(s):  
Cynthia Chan ◽  
J.J. Wong ◽  
Antoni Chan ◽  
Tatia Lee ◽  
Janet Hsiao
Keyword(s):  
Face Recognition ◽  
Visual Attention ◽  
Eye Movement ◽  
Recognition Performance ◽  
Movement Patterns ◽  
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