WS-7.1
An Explainable Attention-Based LSTM Fusion Network for Cognitive Load Prediction from Multimodal Physiological Signals
Olha Shaposhnyk, Svetlana Yanushkevich, University of Calgary, Canada
Session:
WS-7: Multimodal Signal Processing for Attentional Resource Cognition (M-SPARC): Modeling Eye, Brain, Speech, and Behavioral Signals for Cognitive Resource Allocation Oral
Track:
Satellite Workshops
Location:
Room 116
Presentation Time:
Mon, 4 May, 09:00 - 18:00
Presentation
Discussion
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Session WS-7
WS-7.1: An Explainable Attention-Based LSTM Fusion Network for Cognitive Load Prediction from Multimodal Physiological Signals
Olha Shaposhnyk, Svetlana Yanushkevich, University of Calgary, Canada
WS-7.2: A Dynamic Numerical Model for Real-Time Estimation of Latent Cognitive States Using Oculomotor Metrics
Diako Mardanbegi, Google, Canada
WS-7.3: Quantitative Nystagmus Diagnosis Through Portable Eye Tracking and Computer Vision Analysis
Jacopo Ceccuti, Oskar Hibbert, DTU, Denmark; Casper Larsen, Anders Ohlhues Baandrup, Bjarki Ditlev Djurhuus, Zealand University Hospital, Denmark; Per Bækgaard, DTU, Denmark
WS-7.4: Incremental Feature Analysis for Reading Pattern Detection: A Systematic Evaluation of Behavioral Indicators in L2 Eye-Tracking
Md Sabbir Hossain, Ashkan Tashk, Chaudhary Muhammad Aqdus Ilyas, Farhana Kabir, Per Bækgaard, Technical University of Denmark, Denmark
Contacts