Research Output per year
Fingerprint Dive into the research topics where Vesa Kyllönen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Classifiers
Engineering & Materials Science
Monitoring
Engineering & Materials Science
Biometrics
Engineering & Materials Science
Mobile devices
Engineering & Materials Science
Cooking
Engineering & Materials Science
Metadata
Engineering & Materials Science
Sensors
Engineering & Materials Science
Hidden Markov models
Engineering & Materials Science
Network
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Research Output 2002 2019
Unobtrusive assessment of stress of office workers via analysis of their motion trajectories
Vildjiounaite, E., Huotari, V., Kallio, J., Kyllönen, V., Mäkelä, S. M. & Gimel'farb, G., 1 Aug 2019, In : Pervasive and Mobile Computing. 58, 101028.Research output: Contribution to journal › Article › Scientific › peer-review
Trajectories
Trajectory
Motion
Battery
Detector
Analytical approximations and simulation tools for water cooling of hot rolled steel strip
Pohjonen, A., Kyllönen, V. & Paananen, J., 2018, Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016. Linköping university electronic press, p. 728-734 (Linköping Electronic Conference Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access
Cooling water
Steel
Temperature distribution
Cooling
Strip mills
Detection of prolonged stress in smart office
Vildjiounaite, E., Huotari, V., Kallio, J., Kyllönen, V., Mäkelä, S. M. & Gimel’farb, G., 2018, Intelligent Computing: Proceedings of the 2018 Computing Conference. Kapoor, S., Bhatia, R. & Arai, K. (eds.). p. 1253-1261 9 p. (Advances in Intelligent Systems and Computing, Vol. 857).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Trajectories
Detectors
Hidden Markov models
Learning systems
Cameras
From measurements to knowledge: Online quality monitoring and smart manufacturing
Tamminen, S., Tiensuu, H., Ferreira, E., Helaakoski, H., Kyllönen, V., Jokisaari, J. & Puukko, E., 1 Jan 2018, Advances in Data Mining. Applications and Theoretical Aspects: 18th Industrial Conference, ICDM 2018, Proceedings. Springer, p. 17-28 12 p. (Lecture Notes in Computer Science, Vol. 10933 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access
Usability
Manufacturing
Monitoring
Iron and steel industry
Statistical Modeling
4
Citations
(Scopus)
Unobtrusive stress detection on the basis of smartphone usage data
Vildjiounaite, E., Kallio, J., Kyllönen, V., Nieminen, M., Määttänen, I., Lindholm, M., Mäntyjärvi, J. & Gimel'farb, G., 17 Jan 2018, In : Personal and Ubiquitous Computing. 22, 4, p. 671-688 18 p.Research output: Contribution to journal › Article › Scientific › peer-review
Smartphones
Hidden Markov models
Detectors
Supervised learning
Medical problems