How Powerful is the Dwell-Time Analysis of Multichannel Records?

1998 ◽  
Vol 165 (1) ◽  
pp. 19-35 ◽  
Author(s):  
R. Blunck ◽  
U. Kirst ◽  
T. Riessner ◽  
U.-P. Hansen
Keyword(s):  

2012 ◽  
Vol 562-564 ◽  
pp. 2084-2087
Author(s):  
Hui Ding ◽  
Xu Yang Lou

This paper addresses stability properties of linear switched positive systems composed of continuous-time subsystems and discrete-time subsystems. Based on the common linear copositive Lyapunov functions, stability of the positive systems is discussed under arbitrary switching. Moreover, a sufficient condition on the minimum dwell time that guarantees the stability of linear switched positive systems. The dwell time analysis interprets the stability of linear switched positive systems through the distance between the eigenvector sets. Thus, an explicit relation in view of stability is obtained between the family of the involved subsystems and the set of admissible switching signals.



PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0250170
Author(s):  
Nak Won Rim ◽  
Kyoung Whan Choe ◽  
Coltan Scrivner ◽  
Marc G. Berman

Many eye-tracking data analyses rely on the Area-of-Interest (AOI) methodology, which utilizes AOIs to analyze metrics such as fixations. However, AOI-based methods have some inherent limitations including variability and subjectivity in shape, size, and location of AOIs. In this article, we propose an alternative approach to the traditional AOI dwell time analysis: Weighted Sum Durations (WSD). This approach decreases the subjectivity of AOI definitions by using Points-of-Interest (POI) while maintaining interpretability. In WSD, the durations of fixations toward each POI is weighted by the distance from the POI and summed together to generate a metric comparable to AOI dwell time. To validate WSD, we reanalyzed data from a previously published eye-tracking study (n = 90). The re-analysis replicated the original findings that people gaze less towards faces and more toward points of contact when viewing violent social interactions.



1995 ◽  
Vol 50 (12) ◽  
pp. 1117-1122 ◽  
Author(s):  
J. Vollmer ◽  
J. Peinke ◽  
A. Okniński

Abstract Dweiltime analysis is known to characterize saddles giving rise to chaotic scattering. In the present paper it is used to characterize the dependence on initial conditions of the attractor approached by a trajectory in dissipative systems described by one-dimensional, noninvertible mappings which show symmetry breaking. There may be symmetry-related attractors in these systems, and which attractor is approached may depend sensitively on the initial conditions. Dwell-time analysis is useful in this context because it allows to visualize in another way the repellers on the basin boundary which cause this sensitive dependence.



Langmuir ◽  
2011 ◽  
Vol 27 (4) ◽  
pp. 1440-1447 ◽  
Author(s):  
Yi Cao ◽  
Hongbin Li


2009 ◽  
Vol 15 (3-4) ◽  
pp. 228-248 ◽  
Author(s):  
Patrizio Colaneri


Author(s):  
Annalisa Zappavigna ◽  
Patrizio Colaneri ◽  
Jose C Geromel ◽  
Robert Shorten


Langmuir ◽  
2008 ◽  
Vol 24 (4) ◽  
pp. 1356-1364 ◽  
Author(s):  
Robert Szoszkiewicz ◽  
Sri Rama Koti Ainavarapu ◽  
Arun P. Wiita ◽  
Raul Perez-Jimenez ◽  
Jose M. Sanchez-Ruiz ◽  
...  


2020 ◽  
Author(s):  
Nak Won Rim ◽  
Kyoung Whan Choe ◽  
Coltan Scrivner ◽  
Marc Berman

Many eye-tracking data analyses rely on the Area-of-Interest (AOI) methodology, which utilizes AOIs to analyze metrics such as fixations. However, AOI-based methods have some inherent limitations including variability and subjectivity in shape, size, and location of AOIs. In this article, we propose an alternative approach to the traditional AOI dwell time analysis: Weighted Sum Durations (WSD). This approach decreases the subjectivity of AOI definitions by using Points-of-Interest (POI) while maintaining interpretability. In WSD, the durations of fixations toward each POI is weighted by the distance from the POI and summed together to generate a metric comparable to AOI dwell time. To validate WSD, we reanalyzed data from a previously published eye-tracking study (n=90). The re-analysis replicated the original findings that people gaze less towards faces and more toward points of contact when viewing violent social interactions.



Author(s):  
Candice M. Etson ◽  
Petar Todorov ◽  
Nooshin Shatery Nejad ◽  
Nirmala Shrestha ◽  
David R. Walt


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