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
116 2009 Feasible assessment of recovery and cardiovascular health: accuracy of nocturnal HR and HRV assessed via ring PPG in comparison to medical grade ECG H Kinnunen, A Rantanen, T Kenttä, H Koskimäki
Physiological measurement 41 (4), 04NT01, 2020
69 2020 Gamified physical activation of young men–a Multidisciplinary Population-Based Randomized Controlled Trial (MOPO study) R Ahola, R Pyky, T Jämsä, M Mäntysaari, H Koskimäki, TM Ikäheimo, ...
BMC public health 13 (1), 1-8, 2013
68 2013 Nocturnal finger skin temperature in menstrual cycle tracking: ambulatory pilot study using a wearable Oura ring A Maijala, H Kinnunen, H Koskimäki, T Jämsä, M Kangas
BMC Women's Health 19 (1), 1-10, 2019
40 2019 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
37 2011 Personalizing human activity recognition models using incremental learning P Siirtola, H Koskimäki, J Röning
arXiv preprint arXiv:1905.12628, 2019
36 2019 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
31 2017 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
29 2017 Recognizing gym exercises using acceleration data from wearable sensors H Koskimäki, P Siirtola
2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2014
27 2014 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
22 2018 How do we sleep: a case study of sleep duration and quality using data from oura ring H Koskimäki, H Kinnunen, T Kurppa, J Röning
Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018
21 2018 Two-level clustering approach to training data instance selection: a case study for the steel industry H Koskimaki, I Juutilainen, P Laurinen, J Roning
2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008
21 2008 Methods for classifying spot welding processes: A comparative study of performance E Haapalainen, P Laurinen, H Junno, L Tuovinen, J Röning
International Conference on Industrial, Engineering and Other Applications …, 2005
20 2005 Application of the Extended HJ Koskimaki, P Laurinen, E Haapalainen, L Tuovinen, J Roning
IEEE Transactions on Industrial Electronics 54 (5), 2823-2830, 2007
19 2007 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 (2), 187-194, 2013
18 2013 Resistance spot welding process identification using an extended knn method H Junno, P Laurinen, E Haapalainen, L Tuovinen, J Roning
Proceedings of the IEEE International Symposium on Industrial Electronics …, 2005
18 2005 Accelerometer vs. electromyogram in activity recognition H Koskimaki, P Siirtola
Ediciones Universidad de Salamanca (EspaÑa), 2016
17 2016 User-independent activity recognition for industrial assembly lines-feature vs. instance selection V Huikari, H Koskimäki, P Siirtola, J Röning
5th International Conference on Pervasive Computing and Applications, 307-312, 2010
16 2010 Openhar: A matlab toolbox for easy access to publicly open human activity data sets P Siirtola, H Koskimäki, J Röning
Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018
14 2018 Personal models for eHealth-improving user-dependent human activity recognition models using noise injection P Siirtola, H Koskimäki, J Röning
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2016
14 2016 
Pekka SiirtolaPostdoctoral Researcher, Biomimetics and Intelligent Systems Group, University of OuluVahvistettu sähköpostiosoite verkkotunnuksessa oulu.fi
