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

statement of authorship
Mairo Leier, Andri Riid, Tanel Alumäe, Uljana Reinsalu, René Pihlak, Andres Udal, Risto Heinsar, Sven Vainküla
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
subject term
keyword
person tracking
voice assistant
ISSN
2379-1675
ISBN
978-1-7281-7698-7
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
language
inglise
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