Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Charlotte Sennersten"'
Publikováno v:
Applied Sciences, Vol 14, Iss 3, p 1280 (2024)
Machine learning (ML) is increasingly used in diverse fields, including animal behavior research. However, its application to ambiguous data requires careful consideration to avoid uncritical interpretations. This paper extends prior research on ring
Externí odkaz:
https://doaj.org/article/eee215d755c24591af4b850ec572ab03
Publikováno v:
Sensors, Vol 22, Iss 6, p 2101 (2022)
Secure and reliable sensing plays the key role for cognitive tracking i.e., activity identification and cognitive monitoring of every individual. Over the last years there has been an increasing interest from both academia and industry in cognitive a
Externí odkaz:
https://doaj.org/article/525297fee30349dcad657186bed58ae0
This study investigates individuals’ cognitive load processing abilities while engaged on a decision-making task in serious games, to explore how a substantial cognitive load dominates over the physiological arousal effect on pupil diameter. A seri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a28c0b670d5abae63876aecacd73c10
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17052
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17052
Autor:
Greg Timms, Md. Sumon Shahriar, Andrew Davie, Greg Smith, Ashfaqur Rahman, Charlotte Sennersten, David Biggins, Andrew D. Hellicar, Craig Lindley, Mac Coombe
Publikováno v:
IEEE Sensors Journal. 16:4555-4565
For remote characterization of inaccessible underground mine voids, we are developing unmanned aerial vehicles (equipped with multiple sensors, including cameras) to fly into the mine voids to map their shape, condition, and most importantly, mineral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a5778b3906e4da664de5384cae12eca
https://doi.org/10.1109/jsen.2016.2546241
https://doi.org/10.1109/jsen.2016.2546241
Publikováno v:
VS-GAMES
The aim of this paper is to investigate how a substantial cognitive load overshadows the physiological arousal effect, in an attempt to study cognitive abilities of participants engaged on decision-making tasks in serious games. Participants were eng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3768c43defe72a6ba5b654cfbaf2f8b5
https://doi.org/10.1109/vs-games.2017.8056587
https://doi.org/10.1109/vs-games.2017.8056587
Autor:
Charlotte Sennersten, Maciej Matuszak, Faris Azhari, Craig A. Lindley, Simon Hogwood, Sam Kiely
Publikováno v:
Proceedings of the First International Conference on Underground Mining Technology.
Unmanned aerial vehicles (UAVs) are being employed in a rapidly increasing number of applications in mining, including the emerging area of mapping underground void spaces such as stopes, which are otherwise inaccessible to humans, automated ground v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8096249c72031627553d91240492b52f
https://doi.org/10.36487/acg_rep/1710_33_sennersten
https://doi.org/10.36487/acg_rep/1710_33_sennersten
Autor:
Charlotte Sennersten, Craig A. Lindley
Publikováno v:
Key Engineering Materials. 437:555-559
Evaluating the effectiveness of virtual environments as training and analysis systems one must take into account both strongly and weakly defined measures of visual behaviour and associated experience. The investigation of cross correlations between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1efb92fae4a00e74a924488a6d36fa0f
https://doi.org/10.4028/www.scientific.net/kem.437.555
https://doi.org/10.4028/www.scientific.net/kem.437.555
Autor:
Charlotte Sennersten, Craig A. Lindley
Publikováno v:
International Journal of Computer Games Technology, Vol 2008 (2008)
Schema theory provides a foundation for the analysis of game play patterns created by players during their interaction with a game. Schema models derived from the analysis of play provide a rich explanatory framework for the cognitive processes under
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb26e3e0e86f1ebbe4be677c0e745fcd
https://doi.org/10.1155/2008/216784
https://doi.org/10.1155/2008/216784
Autor:
Sumon Shahriar, Andrew Davie, Andrew D. Hellicar, Greg Timms, Greg Smith, David Biggins, Craig Lindley, Mac Coombe, Ashfaqur Rahman, Charlotte Sennersten
Publikováno v:
2015 IEEE SENSORS.
This study investigated the applicability of machine learning algorithms to detect the presence of elements in underground mines from rock surface images, which is proposed as a heuristic classification method inspired by the ability of human geologi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffb94e829eb2b419bab30dd259b741a5
https://doi.org/10.1109/icsens.2015.7370680
https://doi.org/10.1109/icsens.2015.7370680
Publikováno v:
Lecture Notes in Business Information Processing ISBN: 9783319186115
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b4262fed769462f7e61cd22476b809e
https://doi.org/10.1007/978-3-319-18612-2_21
https://doi.org/10.1007/978-3-319-18612-2_21