Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Evan Dekker"'
Publikováno v:
Technologies, Vol 13, Iss 1, p 9 (2024)
Developing balance and coordination skills is essential for children, especially those aged 4–8, but limited Health and Physical Education (HPE) programs in schools hinder effective training. Game-based learning and Augmented Reality (AR) technolog
Externí odkaz:
https://doaj.org/article/a9718516003a41118ae882cb1c64f011
Publikováno v:
European Journal of Investigation in Health, Psychology and Education, Vol 13, Iss 1, Pp 187-198 (2023)
This study reports a user evaluation of a DVD-based social simulator, developed for people who stutter to potentially gain confidence in using a learned fluency technique. The aim was to examine and evaluate the pilot of the DVD-based social simulato
Externí odkaz:
https://doaj.org/article/a2446d9d820b4654bbdc26ae1f718bae
Autor:
Sean Müller, Evan Dekker, Khaya Morris-Binelli, Benjamin Piggott, Gerard Hoyne, Wayne Christensen, Peter Fadde, Leonard Zaichkowsky, John Brenton, David Z. Hambrick
Publikováno v:
Sports Medicine. 53:301-309
Expert sport performers cope with a multitude of visual information to achieve precise skill goals under time stress and pressure. For example, a major league baseball or cricket batter must read opponent variations in actions and ball flight paths t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a2168383c94904d7fc47067d6b06156
https://doi.org/10.1007/s40279-022-01735-7
https://doi.org/10.1007/s40279-022-01735-7
Autor:
Sean Müller, Evan Dekker, Khaya Morris-Binelli, Benjamin Piggott, Gerard Hoyne, Wayne Christensen, Peter Fadde, Leonard Zaichkowsky, John Brenton, David Z. Hambrick
Publikováno v:
Sports Medicine. 53:311-311
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af83d1893cd7cd24158ad0e9bd459d9b
https://doi.org/10.1007/s40279-022-01745-5
https://doi.org/10.1007/s40279-022-01745-5
Publikováno v:
Machine Learning. 84:51-80
While a number of algorithms for multiobjective reinforcement learning have been proposed, and a small number of applications developed, there has been very little rigorous empirical evaluation of the performance and limitations of these algorithms.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::926d2c9f0517cb984db13cd18f4beaed
https://doi.org/10.1007/s10994-010-5232-5
https://doi.org/10.1007/s10994-010-5232-5