Information Processing and Fusion: Change Point Detection for Video-Based Stressor Identification
Abstract
The objective of the proposed research is to lay the foundation of a robust analysis framework for video-based stress detection through change detection. Effort will establish novel blind deconvolution algorithms for robust extraction of the cardiac interbeat intervals (known as RR series). Focus will be placed on (1) overcoming the difficulties introduced by both noise and the low-pass nature of the cardiovascular system in detecting the cardiac interbeat interval, and (2) adaptation of novel entropic measures for heart rate variability analysis to change point detection from visually acquired heart beat signal.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 12, 2017
- Source ID
- W911NF1610153
Entities
People
- Vasiliki Ikonomidou
Organizations
- Army Contracting Command
- George Mason University
- United States Army