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Smart elevator with unsupervised learning for visitor profiling and personalised destination prediction

author
statement of authorship
Mairo Leier, Andri Riid, Tanel Alumäe, Uljana Reinsalu, René Pihlak, Andres Udal, Risto Heinsar, Sven Vainküla
source
location of publication
Danvers
publisher
year of publication
pages
p. 9-16
conference name, date
2021 IEEE International Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) : took place online, 14-22 May 2021
conference location
Tallinn, Estonia
url
ISSN
2379-1675
ISBN
978-1-7281-7698-7
scientific publication
teaduspublikatsioon
TTÜ department
language
inglise
subject term
keyword
person tracking
machine learning
smart elevator
facial recognition
voice assistant
Reserch Group
Embedded AI research laboratory
Laboratory of proactive technologies
Laboratory of language technology
Autonomous vehicles
Cognitronic lab-on-a-chip research group
Leier, M., Riid, A., Alumäe, T., Reinsalu, U., Pihlak, R., Udal, A., Heinsar, R., Vainküla, S. Smart elevator with unsupervised learning for visitor profiling and personalised destination prediction // 2021 IEEE International Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) : Virtual Conference, 14-22 May 2021 : proceedings. Danvers : IEEE, 2021. p. 9-16. https://doi.org/10.1109/CogSIMA51574.2021.9475921