Machine Learning and Physiological Metrics Enhance Performance Assessment

Author:

Dideriksen Amy,Williams Joseph

Publisher

Springer Singapore

Reference15 articles.

1. Cheng, Z., et al.: Human activity synthetic data generation. In: Interservice/Industry Training, Simulation, and Education Conference, Orlando, FL (2017)

2. Dideriksen, A., Williams, J., Avdic-McIntire, G.: The value of cognitive workload in machine learning predictive analytics (2019). Manuscript submitted for publication

3. Dideriksen, A., Reuter, C., Patry, T., Schnell, T., Hoke, J., Faubert, J.: Define “expert”: characterizing proficiency for physiological measures of cognitive workload. In: Interservice/Industry Training, Simulation, and Education Conference, Orlando, FL (2018)

4. Engler, J., Schnell, T., Walwanis, M.: Deterministically nonlinear dynamical classification of cognitive workload. In: Interservice/Industry Training, Simulation, and Education Conference, Orlando, FL (2013)

5. Faubert, J., Sidebottom, L.: Perceptual-cognitive training of athletes. J. Clin. Sport. Psychol. 6(1), 85–102 (2012)

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