PerSummRe

2022 ◽  
Vol 24 (3) ◽  
pp. 0-0
Keyword(s):  
Recommendation System ◽  
Information Overload ◽  
Eye Gaze ◽  
Experimental Results ◽  
User Profiling ◽  
Gaze Tracking ◽  
Non Invasive ◽  
Tracking Technique

The size of Wikipedia grows exponentially every year, due to which users face the problem of information overload. We purpose a remedy to this problem by developing a recommendation system for Wikipedia articles. The proposed technique automatically generates a personalized synopsis of the article that a user aims to read next. We develop a tool, called PerSummRe, which learns the reading preferences of a user through a vision-based analysis of his/her past reads. We use an ensemble non-invasive eye gaze tracking technique to analyze user’s reading pattern. This tool performs user profiling and generates a recommended personalized summary of yet unread Wikipedia article for a user. Experimental results showcase the efficiency of the recommendation technique.

scholarly journals PerSummRe

2022 ◽  
Vol 24 (3) ◽  
pp. 1-18
Author(s):  
Neeru Dubey ◽  
Amit Arjun Verma ◽  
Simran Setia ◽  
S. R. S. Iyengar
Keyword(s):  
Recommendation System ◽  
Information Overload ◽  
Eye Gaze ◽  
Experimental Results ◽  
User Profiling ◽  
Gaze Tracking ◽  
Non Invasive ◽  
Tracking Technique

The size of Wikipedia grows exponentially every year, due to which users face the problem of information overload. We purpose a remedy to this problem by developing a recommendation system for Wikipedia articles. The proposed technique automatically generates a personalized synopsis of the article that a user aims to read next. We develop a tool, called PerSummRe, which learns the reading preferences of a user through a vision-based analysis of his/her past reads. We use an ensemble non-invasive eye gaze tracking technique to analyze user’s reading pattern. This tool performs user profiling and generates a recommended personalized summary of yet unread Wikipedia article for a user. Experimental results showcase the efficiency of the recommendation technique.

A Novel Eye Gaze Tracking Technique Based on Pupil Center Cornea Reflection Technique

2010 ◽  
Vol 33 (7) ◽  
pp. 1272-1285 ◽  
Author(s):  
Chuang ZHANG ◽  
Jian-Nan CHI ◽  
Zhao-Hui ZHANG ◽  
Zhi-Liang WANG
Keyword(s):  
Eye Gaze ◽  
Gaze Tracking ◽  
Pupil Center ◽  
Tracking Technique

An Improved Web Page Recommendation Technique for Better Surfing Experience

2018 ◽  
Vol 8 (4) ◽  
pp. 1-13
Author(s):  
Rajnikant Bhagwan Wagh ◽  
Jayantrao Bhaurao Patil
Keyword(s):  
Web Site ◽  
Recommendation System ◽  
Information Overload ◽  
Experimental Results ◽  
Relationship Matrix ◽  
Web Pages ◽  
Threshold Values ◽  
Web Page ◽  
Clustering And Classification ◽  
The Web

Recommendation systems are growing very rapidly. While surfing, users frequently miss the goal of their search and lost in information overload problem. To overcome this information overload problem, the authors have proposed a novel web page recommendation system to save surfing time of user. The users are analyzed when they surf through a particular web site. Authors have used relationship matrix and frequency matrix for effectively finding the connectivity among the web pages of similar users. These webpages are divided into various clusters using enhanced graph based partitioning concept. Authors classify active users more accurately to found clusters. Threshold values are used in both clustering and classification stages for more appropriate results. Experimental results show that authors get around 61% accuracy, 37% coverage and 46% F1 measure. It helps in improved surfing experience of users.

Implementation of eye gaze tracking technique on FPGA-based on-screen keyboard system using verilog and MATLAB

2017 ◽  
Author(s):  
Dionis A. Padilla ◽  
Joseph Aaron B. Adriano ◽  
Jessie R. Balbin ◽  
Ivan G. Matala ◽  
Jan Julien R. Nicolas ◽  
...  
Keyword(s):  
Eye Gaze ◽  
Gaze Tracking ◽  
Tracking Technique

Online Product Recommendation System by Using Eye Gaze Data

2020 ◽  
Author(s):  
A. B. M. Fahim Shahriar ◽  
Mahedee Zaman Moon ◽  
Hasan Mahmud ◽  
Kamrul Hasan
Keyword(s):  
Recommendation System ◽  
Eye Gaze ◽  
Product Recommendation

scholarly journals Examination of Driver Visual and Cognitive Responses to Billboard Elicited Passive Distraction Using Eye-Fixation Related Potential

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1471
Author(s):  
Yongxiang Wang ◽  
William Clifford ◽  
Charles Markham ◽  
Catherine Deegan
Keyword(s):  
Visual Information ◽  
Driving Simulator ◽  
Tracking System ◽  
Eye Gaze ◽  
Driver Distraction ◽  
Experimental Results ◽  
Human Information Processing ◽  
Cognitive Responses ◽  
Information Processing Model ◽  
Eye Fixation

Distractions external to a vehicle contribute to visual attention diversion that may cause traffic accidents. As a low-cost and efficient advertising solution, billboards are widely installed on side of the road, especially the motorway. However, the effect of billboards on driver distraction, eye gaze, and cognition has not been fully investigated. This study utilises a customised driving simulator and synchronised electroencephalography (EEG) and eye tracking system to investigate the cognitive processes relating to the processing of driver visual information. A distinction is made between eye gaze fixations relating to stimuli that assist driving and others that may be a source of distraction. The study compares the driver’s cognitive responses to fixations on billboards with fixations on the vehicle dashboard. The measured eye-fixation related potential (EFRP) shows that the P1 components are similar; however, the subsequent N1 and P2 components differ. In addition, an EEG motor response is observed when the driver makes an adjustment of driving speed when prompted by speed limit signs. The experimental results demonstrate that the proposed measurement system is a valid tool in assessing driver cognition and suggests the cognitive level of engagement to the billboard is likely to be a precursor to driver distraction. The experimental results are compared with the human information processing model found in the literature.

An adaptive blink detector to initialize and update a view-basedremote eye gaze tracking system in a natural scenario

2009 ◽  
Vol 30 (12) ◽  
pp. 1144-1150 ◽  
Author(s):  
Diego Torricelli ◽  
Michela Goffredo ◽  
Silvia Conforto ◽  
Maurizio Schmid
Keyword(s):  
Tracking System ◽  
Eye Gaze ◽  
Gaze Tracking
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