Elena Vildjiounaite

20042019
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Biometrics Engineering & Materials Science
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Metadata Engineering & Materials Science
Accelerometers Engineering & Materials Science
Mobile phones Engineering & Materials Science
Ontology Engineering & Materials Science

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Research Output 2004 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 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.). 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
4 Citations (Scopus)

Unsupervised stress detection algorithm and experiments with real life data

Vildjiounaite, E., Kallio, J., Mäntyjärvi, J., Kyllönen, V., Lindholm, M. & Gimel'farb, G., 1 Jan 2017, Progress in Artificial Intelligence. Vale, Z., Oliveira, E., Gama, J. & Lopes Cardoso, H. (eds.). Springer, p. 95-107 13 p. (Lecture Notes in Computer Science, Vol. 10423 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Experiments
Detectors
Hidden Markov models
Industry