Petter Jakobsen

According to our database, Petter Jakobsen authored at least 12 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Prediction of schizophrenia from activity data using hidden Markov model parameters.

Matthias Boeker, Hugo Lewi Hammer, Michael A. Riegler, Pål Halvorsen, Petter Jakobsen

Neural Comput. Appl., March, 2023

Affect recognition in muscular response signals.

Matthias Boeker, Petter Jakobsen, Michael Alexander Riegler, Lena Antonsen Stabell, Ole Bernt Fasmer, Pål Halvorsen, Hugo Lewi Hammer

Dataset, March, 2023

Affect Recognition in Muscular Response Signals.

Matthias Boeker, Petter Jakobsen, Michael A. Riegler, Lena Antonsen Stabell, Ole Bernt Fasmer, Pål Halvorsen, Hugo Lewi Hammer

IEEE Access, 2023

2022

Long-Short Ensemble Network for Bipolar Manic-Euthymic State Recognition Based on Wrist-Worn Sensors.

Ulysse Côté Allard, Petter Jakobsen, Andrea Stautland, Tine Nordgreen, Ole Bernt Fasmer, Ketil Joachim Oedegaard, Jim Tørresen

IEEE Pervasive Comput., 2022

2021

HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD).

Steven Alexander Hicks, Andrea Stautland, Ole Bernt Fasmer, Wenche Førland, Hugo Lewi Hammer, Pål Halvorsen, Kristin Mjeldheim, Ketil Joachim Oedegaard, Berge Osnes, Vigdis Elin Giæver Syrstad, Michael Alexander Riegler, Petter Jakobsen

Proceedings of the MMSys '21: 12th ACM Multimedia Systems Conference, Istanbul, Turkey, 28 September 2021, 2021

HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features.

Enrique Garcia-Ceja, Vajira Thambawita, Steven Alexander Hicks, Debesh Jha, Petter Jakobsen, Hugo Lewi Hammer, Pål Halvorsen, Michael A. Riegler

Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters.

Matthias Boeker, Michael A. Riegler, Hugo Lewi Hammer, Pål Halvorsen, Ole Bernt Fasmer, Petter Jakobsen

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020

Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros.

Henrik Svoren, Vajira Thambawita, Pål Halvorsen, Petter Jakobsen, Enrique Garcia-Ceja, Farzan Majeed Noori, Hugo Lewi Hammer, Mathias Lux, Michael Alexander Riegler, Steven Alexander Hicks

Proceedings of the 11th ACM Multimedia Systems Conference, 2020

PSYKOSE: A Motor Activity Database of Patients with Schizophrenia.

Petter Jakobsen, Enrique Garcia-Ceja, Lena Antonsen Stabell, Ketil J. Oedegaard, Jan Oystein Berle, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Ole Bernt Fasmer, Michael Alexander Riegler

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2018

Mental health monitoring with multimodal sensing and machine learning: A survey.

Enrique Garcia-Ceja, Michael Riegler, Tine Nordgreen, Petter Jakobsen, Ketil J. Oedegaard, Jim Tørresen

Pervasive Mob. Comput., 2018

Depresjon: a motor activity database of depression episodes in unipolar and bipolar patients.

Enrique Garcia-Ceja, Michael Riegler, Petter Jakobsen, Jim Tørresen, Tine Nordgreen, Ketil J. Oedegaard, Ole Bernt Fasmer

Proceedings of the 9th ACM Multimedia Systems Conference, 2018

Motor Activity Based Classification of Depression in Unipolar and Bipolar Patients.

Enrique Garcia-Ceja, Michael Riegler, Petter Jakobsen, Jim Tørresen, Tine Nordgreen, Ketil J. Oedegaard, Ole Bernt Fasmer

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018