Research Output per year
Fingerprint Dive into the research topics where Elena Vildjiounaite is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Biometrics
Engineering & Materials Science
Mobile devices
Engineering & Materials Science
Cooking
Engineering & Materials Science
Classifiers
Engineering & Materials Science
Metadata
Engineering & Materials Science
Accelerometers
Engineering & Materials Science
Sensors
Engineering & Materials Science
Mobile phones
Engineering & Materials Science
Network
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Research Output 2004 2019
Classifying Teachers’ Self-reported Productivity, Stress and Indoor Environmental Quality Using Environmental Sensors
Kallio, J., Vildjiounaite, E., Kyllönen, V., Ronkainen, J., Koivusaari, J., Muuraiskangas, S., Räsänen, P., Similä, H. & Vehmas, K., Nov 2019, Ambient Intelligence. AmI 2019. Springer, p. 27-40 (Lecture Notes in Computer Science, Vol. 11912).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Productivity
Sensors
Health
Learning systems
Monitoring
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
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.). Springer, 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
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
5
Citations
(Scopus)
Unsupervised illness recognition via in-home monitoring by depth cameras
Vildjiounaite, E., Mäkelä, S-M., Keränen, T., Kyllönen, V., Huotari, V., Järvinen, S. & Gimelfarb, G., 1 Jul 2017, In : Pervasive and Mobile Computing. 38, Part 1, p. 166-187 22 p.Research output: Contribution to journal › Article › Scientific › peer-review
Camera
Cameras
Detector
Monitoring
Detectors