The mental machine: Classifying mental workload state from unobtrusive heart rate-measures using machine learning

This paper investigates whether mental workload can be classified in an operator setting using unobtrusive psychophysiological measures. Having reliable predictions of workload using unobtrusive sensors can be useful for adaptive instructional systems, as knowledge of a trainee’s workload can then be used to provide appropriate training level...

Influence of Rocker and Twist and the Results of the Delft Systematic Deadrise Series

The results of the Delft Systematic Deadrise Series

The results of the Delft Systematic Deadrise Series

In the present paper the development of the Delft Systematic Deadrise Series (DSDS) is described. The DSDS has been under development for decades by now and consists of a large family of systematically varied hard chine planing monohulls, based on the original research by Clement and Blount, which have all been tested in the same speed range,...