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Presentation: Trapezoidal Segment Sequencing: A Novel Approach for Fusion of Human-produced Continuous Annotations

Abstract: 

Generating accurate ground truth representations of human subjective experiences and judgements is essential for advancing our understanding of human-centered constructs such as emotions. Often, this requires the collection and fusion of annotations from several people where each one is subject to valuation disagreements, distraction artifacts, and other error sources. This work proposes Trapezoidal Segment Sequencing, a new method for fusing annotations into a single representation that, when used alongside a recently proposed signal warping pipeline for correcting annotation artifacts, produces accurate ground truths. We prove that annotations can be well approximated with trapezoidal signals and present results showing the proposed method performs competitively with state-of-the-art fusion methods on a data set where the true target signal being annotated is known. The main utility of the proposed approach is its ability to help segment individual annotations into interpretable regions where either changes or no perceived changes to the construct occur.

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Paper Details

Authors:
Shrikanth Narayanan
Submitted On:
14 May 2020 - 7:44am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Brandon Booth
Paper Code:
4848
Document Year:
2020
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Document Files

_Presentation__2020_ICASSP_Trapezoidal_Segment_Fusion.pdf

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[1] Shrikanth Narayanan, "Presentation: Trapezoidal Segment Sequencing: A Novel Approach for Fusion of Human-produced Continuous Annotations", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5287. Accessed: Sep. 19, 2020.
@article{5287-20,
url = {http://sigport.org/5287},
author = {Shrikanth Narayanan },
publisher = {IEEE SigPort},
title = {Presentation: Trapezoidal Segment Sequencing: A Novel Approach for Fusion of Human-produced Continuous Annotations},
year = {2020} }
TY - EJOUR
T1 - Presentation: Trapezoidal Segment Sequencing: A Novel Approach for Fusion of Human-produced Continuous Annotations
AU - Shrikanth Narayanan
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5287
ER -
Shrikanth Narayanan. (2020). Presentation: Trapezoidal Segment Sequencing: A Novel Approach for Fusion of Human-produced Continuous Annotations. IEEE SigPort. http://sigport.org/5287
Shrikanth Narayanan, 2020. Presentation: Trapezoidal Segment Sequencing: A Novel Approach for Fusion of Human-produced Continuous Annotations. Available at: http://sigport.org/5287.
Shrikanth Narayanan. (2020). "Presentation: Trapezoidal Segment Sequencing: A Novel Approach for Fusion of Human-produced Continuous Annotations." Web.
1. Shrikanth Narayanan. Presentation: Trapezoidal Segment Sequencing: A Novel Approach for Fusion of Human-produced Continuous Annotations [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5287