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Search results for biblio_year:2020
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2022
P. Jakobsen, A. Stautland, M. Riegler, U. Côté-Allard, Z. Sepasdar, T. Nordgreen, J. Torresen, O. B. Fasmer and K. J. Oedegaard. "Complexity and Variability Analyses of Motor Activity Distinguish Mood States in Bipolar Disorder." PLOS ONE 17 (2022): e0262232.
M. Boeker, M. Riegler, H. L. Hammer, P. Jakobsen and P. Halvorsen. "Prediction of Schizophrenia from Activity Data using Hidden Markov Model Parameters." Neural Computing and Applications (2022).
2021
E. Garcia-Ceja, V. Thambawita, S. Hicks, D. Jha, P. Jakobsen, H. L. Hammer, P. Halvorsen and M. Riegler. HTAD: A Home-Tasks Activities Dataset with Wrist-accelerometer and Audio Features In 27th International Conference on Multimedia Modeling. Springer, 2021.PDF icon mmm_2021_dataset_htad.pdf (637.46 KB)
S. Hicks, A. Stautland, O. B. Fasmer, W. Frøland, H. L. Hammer, P. Halvorsen, K. Mjeldheim, K. J. Oedegaard, B. Osnes, V. E. G. Syrstad et al. HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD) In Proceedings of the 12th ACM Multimedia Systems Conference (MMSys '21). ACM, 2021.PDF icon 3458305.3478454.pdf (546.98 KB)
2020
H. Svoren, V. Thambawita, P. Halvorsen, P. Jakobsen, E. Garcia-Ceja, F. M. Noori, H. L. Hammer, M. Lux, M. Riegler and S. Hicks. Toadstool: A Dataset for Training Emotional IntelligentMachines Playing Super Mario Bros In The ACM Multimedia Systems Conference (MMSys). The ACM Multimedia Systems Conference (MMSys): ACM, 2020.
2018
E. Garcia-Ceja, M. Riegler, T. Nordgreen, P. Jakobsen, K. J. Oedegaard and J. Tørresen. "Mental Health Monitoring with Multimodal Sensing and Machine Learning: A Survey." Pervasive and Mobile Computing 51 (2018): 1-26.