Heli Koskimäki
Heli Koskimäki
Senior Data Scientist, Oura Health
Verified email at ouraring.com
Title
Cited by
Cited by
Year
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
812009
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
612013
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
35*2011
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
202017
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
202005
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
182005
Personalizing human activity recognition models using incremental learning
P Siirtola, H Koskimäki, J Röning
arXiv preprint arXiv:1905.12628, 2019
172019
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
152017
Recognizing gym exercises using acceleration data from wearable sensors
H Koskimäki, P Siirtola
2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2014
152014
Application of the Extended nn Method to Resistance Spot Welding Process Identification and the Benefits of Process Information
HJ Koskimaki, P Laurinen, E Haapalainen, L Tuovinen, J Roning
IEEE Transactions on Industrial Electronics 54 (5), 2823-2830, 2007
142007
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
132010
Accelerometer vs. electromyogram in activity recognition
H Koskimaki, P Siirtola
Ediciones Universidad de Salamanca (EspaÑa), 2016
122016
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
112018
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
112013
Studying the quality of resistance spot welding joints using bayesian networks
P Laurinen, H Junno, L Tuovinen, J Röning
Proceedings of artificial intelligence and applications, 705-711, 2004
112004
Resistance Spot Welding Process Identification and Initialization Based on Self-Organizing Maps.
H Junno, P Laurinen, E Haapalainen, L Tuovinen, J Röning, D Zettel, ...
ICINCO (1), 296-299, 2004
102004
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
92018
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
92016
Avoiding Bias in Classification Accuracy-a Case Study for Activity Recognition
H Koskimäki
IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2015), 2015
92015
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
92008
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Articles 1–20