Pekka Siirtola
Pekka Siirtola
Postdoctoral Researcher, Biomimetics and Intelligent Systems Group, University of Oulu
Verified email at - Homepage
Cited by
Cited by
Recognizing human activities user-independently on smartphones based on accelerometer data
P Siirtola, J Röning
Ijimai 1 (5), 38-45, 2012
Activity recognition using a wrist-worn inertial measurement unit: A case study for industrial assembly lines
H Koskimaki, V Huikari, P Siirtola, P Laurinen, J Roning
2009 17th mediterranean conference on control and automation, 401-405, 2009
Efficient accelerometer-based swimming exercise tracking
P Siirtola, P Laurinen, J Röning, H Kinnunen
2011 IEEE symposium on computational intelligence and data mining (CIDM …, 2011
Ready-to-use activity recognition for smartphones
P Siirtola, J Röning
2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 59-64, 2013
Continuous stress detection using the sensors of commercial smartwatch
P Siirtola
Adjunct proceedings of the 2019 ACM international joint conference on …, 2019
Assessing real-time cognitive load based on psycho-physiological measures for younger and older adults
E Ferreira, D Ferreira, SJ Kim, P Siirtola, J Röning, JF Forlizzi, AK Dey
2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms …, 2014
Clustering-based activity classification with a wrist-worn accelerometer using basic features
P Siirtola, P Laurinen, E Haapalainen, J Roning, H Kinnunen
2009 IEEE Symposium on Computational Intelligence and Data Mining, 95-100, 2009
Personalizing human activity recognition models using incremental learning
P Siirtola, H Koskimäki, J Röning
The 26th European Symposium on Artificial Neural Networks, Computational …, 2018
Myogym: introducing an open gym data set for activity recognition collected using myo armband
H Koskimäki, P Siirtola, J Röning
Proceedings of the 2017 ACM international joint conference on pervasive and …, 2017
Early detection of migraine attacks based on wearable sensors: experiences of data collection using Empatica E4
H Koskimäki, H Mönttinen, P Siirtola, HL Huttunen, R Halonen, J Röning
Proceedings of the 2017 ACM International Joint Conference on Pervasive and …, 2017
Using sleep time data from wearable sensors for early detection of migraine attacks
P Siirtola, H Koskimäki, H Mönttinen, J Röning
Sensors 18 (5), 1374, 2018
Incremental learning to personalize human activity recognition models: the importance of human AI collaboration
P Siirtola, J Röning
Sensors 19 (23), 5151, 2019
Feasibility of gamified mobile service aimed at physical activation in young men: population-based randomized controlled study (MOPO)
AM Leinonen, R Pyky, R Ahola, M Kangas, P Siirtola, T Luoto, H Enwald, ...
JMIR mHealth and uHealth 5 (10), e146, 2017
Improving the classification accuracy of streaming data using SAX similarity features
P Siirtola, H Koskimäki, V Huikari, P Laurinen, J Röning
Pattern Recognition Letters 32 (13), 1659-1668, 2011
Comparison of regression and classification models for user-independent and personal stress detection
P Siirtola, J Röning
Sensors 20 (16), 4402, 2020
Recognizing gym exercises using acceleration data from wearable sensors
H Koskimäki, P Siirtola
2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2014
User-independent human activity recognition using a mobile phone: Offline recognition vs. real-time on device recognition
P Siirtola, J Röning
Distributed Computing and Artificial Intelligence: 9th International …, 2012
Stressnas: Affect state and stress detection using neural architecture search
L Huynh, T Nguyen, T Nguyen, S Pirttikangas, P Siirtola
Adjunct Proceedings of the 2021 ACM International Joint Conference on …, 2021
Behavior modeling in industrial assembly lines using a wrist-worn inertial measurement unit
H Koskimäki, V Huikari, P Siirtola, J Röning
Journal of Ambient Intelligence and Humanized Computing 4, 187-194, 2013
Efficient Algorithm for Calculating Similarity between Trajectories Containing an Increasing Dimension.
P Laurinen, P Siirtola, J Röning
Artificial Intelligence and Applications, 392-399, 2006
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