Elena Vildjiounaite

20042019
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Biometrics Engineering & Materials Science
Mobile devices Engineering & Materials Science
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Classifiers Engineering & Materials Science
Metadata Engineering & Materials Science
Accelerometers Engineering & Materials Science
Sensors Engineering & Materials Science
Mobile phones Engineering & Materials Science

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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 proceedingConference article in proceedingsScientificpeer-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 journalArticleScientificpeer-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 proceedingConference article in proceedingsScientificpeer-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 journalArticleScientificpeer-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 journalArticleScientificpeer-review

Camera
Cameras
Detector
Monitoring
Detectors