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10h15: Translation Dynamics in Holistic Analysis of Functional Human-body System
Professor Dr. Jochen Mau
Institute of Statistics in Medicine
Heinrich-Heine-Universität Düsseldorf, Germany
Abstract
An axiomatic configuration of dynamics based on the holistic function-level concept can explain dynamics of human body system functionality coherently across different scales. Instead of solving first-order differential equations for energy supply and demand transfers between system components, parameter functions can be identified for transfer intensities. Experimental design and data analysis for empirical identification can then be based on counting processes and martingale dynamics. The key issue is coherent up-scaling: upper level equations “emerge” from lower level equations. Implications for clinical research are briefly pointed out.
11h00: Mental Workload Classification Using A Semi-Supervised Extreme Learning Machine
Professor Jianhua Zhang
School of Information Science and Engineering
East China University of Science and Technology (ECUST), Shanghai, China
and Machine Learning Research Lab, VEKIA, Lille, France
Abstract
The real-time mental workload (MWL) monitoring and assessment is critical for the design and development of adaptive aiding/assistive systems. Although the psychophysiological data driven approaches have shown potential and promise for MWL recognition in literature, a major bottleneck lies in the difficulty in acquiring sufficient labeled data to train the classifier in a supervised fashion. This contribution developed and applied a semi-supervised extreme learning machine (SSELM) to the challenging MWL classification problem based on a limited set of labeled physiological data and a relatively larger number of unlabeled data. The results of analyzing the experimental data show that the proposed SSELM method can effectively improve both the accuracy and efficiency of the MWL pattern classification, as a large number of unlabeled data can be readily collected under naturalistic operational environment.
*Participation is free but registration is necessary.
Contact Professor Alessandro Villa (alessandro.villa@unil.ch) for registration.