Starburst: A hybrid algorithm for video-based eye tracking combining feature-based and model-based approaches

2006 ◽  
Author(s):  
Dongheng Li ◽  
D. Winfield ◽  
D.J. Parkhurst
Keyword(s):  
Eye Tracking ◽  
Hybrid Algorithm ◽  
Model Based ◽  
Feature Based

Integrating Freeform and Feature-Based Fitting Methods

2004 ◽  
Author(s):  
H. James de St. Germain ◽  
David E. Johnson ◽  
Elaine Cohen
Keyword(s):  
Reverse Engineering ◽  
Surface Fitting ◽  
General Purpose ◽  
Freeform Surface ◽  
Domain Expert ◽  
Coordinate Measurement ◽  
Reverse Engineer ◽  
Model Based ◽  
Cad Models ◽  
Feature Based

Reverse engineering (RE) is the process of defining and instantiating a model based on the measurements taken from an exemplar object. Traditional RE is costly, requiring extensive time from a domain expert using calipers and/or coordinate measurement machines to create new design drawings/CAD models. Increasingly RE is becoming more automated via the use of mechanized sensing devices and general purpose surface fitting software. This work demonstrates the ability to reverse-engineer parts by combining feature-based techniques with freeform surface fitting to produce more accurate and appropriate CAD models than previously possible.

Escaping the corner of death? An eye-tracking study of reading direction influence on attention and memory

2017 ◽  
Vol 34 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Monica D. Hernandez ◽  
Yong Wang ◽  
Hong Sheng ◽  
Morris Kalliny ◽  
Michael Minor
Keyword(s):  
Eye Tracking ◽  
Design Methodology ◽  
Attention And Memory ◽  
Cognitive Responses ◽  
Tracking Data ◽  
Bias Effect ◽  
Content Type ◽  
Reading Direction ◽  
Feature Based ◽  
The Web

Purpose The authors aim to examine the effect of location-driven logo placement on attention and memory on the web addressing differences between individuals that read unidirectionally (left-to-right [LTR]) versus bidirectionally (both right-to-left and LTR). Design/methodology/approach Using an eye-tracking approach combined with traditional verbal measures, the authors compared attention and memory measures from a sample composed of bidirectional (Arab/English) readers and unidirectional readers. Findings The findings reveal that unidirectional and bidirectional readers differ in attention patterns. Compared to bidirectional readers, unidirectional readers pay less attention to the logo on the bottom right corner of the webpage based on verbal measures. The eye-tracking data of the two groups further identify differences based on total hits and duration time. Unidirectional LTR readers demonstrate higher fluency in feature-based attention whereas bidirectional readers show higher fluency in spatial attention. Originality/value The authors expand on scarce research on reading direction bias effect on location-driven stimuli placement in online settings. They contribute to the understanding of the differences between unidirectional and bidirectional readers in their cognitive responses (attention and memory) to organization of marketing stimuli.

scholarly journals The connectivity domain: Analyzing resting state fMRI data using feature-based data-driven and model-based methods

NeuroImage ◽  
2016 ◽  
Vol 134 ◽  
pp. 494-507 ◽  
Author(s):  
Armin Iraji ◽  
Vince D. Calhoun ◽  
Natalie M. Wiseman ◽  
Esmaeil Davoodi-Bojd ◽  
Mohammad R.N. Avanaki ◽  
...  
Keyword(s):  
Resting State ◽  
Resting State Fmri ◽  
Data Driven ◽  
Fmri Data ◽  
Model Based ◽  
Feature Based

scholarly journals An eye-tracking study of feature-based choice in one-shot games

2015 ◽  
Vol 19 (1) ◽  
pp. 177-201 ◽  
Author(s):  
Giovanna Devetag ◽  
Sibilla Di Guida ◽  
Luca Polonio
Keyword(s):  
Eye Tracking ◽  
Feature Based
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