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SciProfiles: 228284

Biography

Postdoctoral researcher at Biomimetics and Intelligent Systems Group at University of Oulu, Finland.

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Works (47)

Predicting Emotion with Biosignals: A Comparison of Classification and Regression Models for Estimating Valence and Arousal Level Using Wearable Sensors

Sensors
2023-02 | Journal article | Author
DOI: 10.3390/s23031598
Contributors: Pekka Siirtola; Satu Tamminen; Gunjan Chandra; Anusha Ihalapathirana; Juha Röning
Source: check_circle
Multidisciplinary Digital Publishing Institute

Impacts of Data Synthesis: A Metric for Quantifiable Data Standards and Performances

Data
2022-12 | Journal article | Author
DOI: 10.3390/data7120178
Contributors: Gunjan Chandra; Pekka Siirtola; Satu Tamminen; Mikael Knip; Riitta Veijola; Juha Röning
Source: check_circle
Multidisciplinary Digital Publishing Institute

Effect of context in swipe gesture-based continuous authentication on smartphones

The 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN '18)
2018 | Conference paper
Source: Self-asserted source
Pekka Siirtola

Enhancing Veracity of IoT Generated Big Data in Decision Making

IEEE PerCrowd 2018 -- 1st International Workshop on Context-Awareness for Multi-Device Pervasive and Mobile Computing Co-located with IEEE PerCom 2018
2018 | Conference paper
Source: Self-asserted source
Pekka Siirtola

Experiences with Publicly Open Human Activity Data Sets - Studying the Generalizability of the Recognition Models

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods
2018 | Conference paper
Source: Self-asserted source
Pekka Siirtola

Personalizing human activity recognition models using incremental learning

The 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN '18)
2018 | Conference paper
Source: Self-asserted source
Pekka Siirtola

Using Sleep Time Data from Wearable Sensors for Early Detection of Migraine Attacks

Sensors (Basel, Switzerland)
2018 | Journal article
Source: Self-asserted source
Pekka Siirtola

Advanced quality monitoring methods for steel production

DIMECC Final Report: DIMECC Publications series no. 17
2017 | Book chapter
Source: Self-asserted source
Pekka Siirtola

Computer game and wearable sensors based approach to promote physical activity for young men

Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
2017 | Conference paper
Source: Self-asserted source
Pekka Siirtola

Early detection of migraine attacks based on wearable sensors: experiences of data collection using Empatica E4

Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
2017 | Conference paper
Source: Self-asserted source
Pekka Siirtola

Electrodermal activity asymmetry in sleep - A case study for migraine detection

IFMBE Proceedings
2017 | Conference paper
DOI: 10.1007/978-981-10-5122-7_209
EID:

2-s2.0-85021762631
Contributors: Mönttinen, H.; Koskimäki, H.; Siirtola, P.; Röning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Feasibility of Gamified Mobile Service Aimed at Physical Activation in Young Men: Population-Based Randomized Controlled Study (MOPO)

JMIR mHealth and uHealth
2017 | Journal article
Source: Self-asserted source
Pekka Siirtola

Model update in wearable sensors based human activity recognition

2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016
2017 | Conference paper
DOI: 10.1109/SSCI.2016.7849945
EID:

2-s2.0-85016001875
Contributors: Koskimaki, H.; Siirtola, P.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

MyoGym: introducing an open gym data set for activity recognition collected using myo armband

Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
2017 | Conference paper
Source: Self-asserted source
Pekka Siirtola

Personal models for eHealth - Improving user-dependent human activity recognition models using noise injection

2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016
2017 | Conference paper
DOI: 10.1109/SSCI.2016.7849944
EID:

2-s2.0-85016040194
Contributors: Siirtola, P.; Koskimaki, H.; Roning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Accelerometer vs. Electromyogram in Activity Recognition

ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal
2016 | Journal article
Source: Self-asserted source
Pekka Siirtola

Adaptive model fusion for wearable sensors based human activity recognition

FUSION 2016 - 19th International Conference on Information Fusion, Proceedings
2016 | Conference paper
EID:

2-s2.0-84992117679
Contributors: Koskimaki, H.; Siirtola, P.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Automatic Recognition of Steel Plate Side Edge Shape Using Classification and Regression Models

The 9th Eurosim Congress on Modelling and Simulation
2016 | Conference paper
Source: Self-asserted source
Pekka Siirtola

From user-independent to personal human activity recognition models using smartphone sensors

ESANN 2016 - 24th European Symposium on Artificial Neural Networks
2016 | Conference paper
EID:

2-s2.0-84994176577
Contributors: Siirtola, P.; Koskimäki, H.; Röning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Personal models for eHealth-improving user-dependent human activity recognition models using noise injection

Computational Intelligence (SSCI), 2016 IEEE Symposium Series on
2016 | Conference paper
Source: Self-asserted source
Pekka Siirtola

Recognizing unseen gym activities from streaming data – Accelerometer Vs. Electromyogram

Advances in Intelligent Systems and Computing
2016 | Book
DOI: 10.1007/978-3-319-40162-1_21
EID:

2-s2.0-84975495303
Contributors: Koskimäki, H.; Siirtola, P.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Reducing uncertainty in user-independent activity recognition a sensor fusion-based approach

ICPRAM 2016 - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods
2016 | Conference paper
EID:

2-s2.0-84970028377
Contributors: Siirtola, P.; Röning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Software design principles for digital behavior change interventions: Lessons learned from the mopo study

HEALTHINF 2016 - 9th International Conference on Health Informatics, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016
2016 | Conference paper
EID:

2-s2.0-84969219459
Contributors: Tuovinen, L.; Ahola, R.; Kangas, M.; Korpelainen, R.; Siirtola, P.; Luoto, T.; Pyky, R.; Röning, J.; Jämsä, T.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Detecting and profiling sedentary young men using machine learning algorithms

IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIDM 2014: 2014 IEEE Symposium on Computational Intelligence and Data Mining, Proceedings
2015 | Conference paper
DOI: 10.1109/CIDM.2014.7008681
EID:

2-s2.0-84925063808
Contributors: Siirtola, P.; Pyky, R.; Ahola, R.; Koskimaki, H.; Jamsa, T.; Korpelainen, R.; Roning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Recognizing gym exercises using acceleration data from wearable sensors

IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIDM 2014: 2014 IEEE Symposium on Computational Intelligence and Data Mining, Proceedings
2015 | Conference paper
DOI: 10.1109/CIDM.2014.7008685
EID:

2-s2.0-84925063811
Contributors: Koskimaki, H.; Siirtola, P.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Recognizing human activities based on wearable inertial measurements: methods and applications

Doctoral dissertation, Department of Computer Science and Engineering, University of Oulu
2015 | Journal article
Source: Self-asserted source
Pekka Siirtola

Summary - Recognizing human activities based on wearable inertial measurements: methods and applications

International Journal of Artificial Intelligence and Interactive Multimedia
2015 | Journal article
Source: Self-asserted source
Pekka Siirtola

Assessing real-time cognitive load based on psycho-physiological measures for younger and older adults

IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CCMB 2014: 2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, Proceedings
2014 | Conference paper
DOI: 10.1109/CCMB.2014.7020692
EID:

2-s2.0-84946686365
Contributors: Ferreira, E.; Ferreira, D.; Kim, S.; Siirtola, P.; Roning, J.; Forlizzi, J.F.; Dey, A.K.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Recognizing gym exercises using acceleration data from wearable sensors.

CIDM
2014 | Conference paper
Source: Self-asserted source
Pekka Siirtola

Behavior modeling in industrial assembly lines using a wrist-worn inertial measurement unit

Journal of Ambient Intelligence and Humanized Computing
2013 | Journal article
DOI: 10.1007/s12652-011-0061-3
EID:

2-s2.0-84875677038
Contributors: Koskimäki, H.; Huikari, V.; Siirtola, P.; Röning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Ready-to-use activity recognition for smartphones

Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
2013 | Conference paper
DOI: 10.1109/CIDM.2013.6597218
EID:

2-s2.0-84885588005
Contributors: Siirtola, P.; Roning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Recognizing human activities user-independently on smartphones based on accelerometer data

IJIMAI
2012 | Journal article
Source: Self-asserted source
Pekka Siirtola

User-independent human activity recognition using a mobile phone: Offline recognition vs. real-time on device recognition

Advances in Intelligent and Soft Computing
2012 | Book
DOI: 10.1007/978-3-642-28765-7_75
EID:

2-s2.0-84864308950
Contributors: Siirtola, P.; Röning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Detecting water waste activities for water-efficient living

UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing
2011 | Conference paper
DOI: 10.1145/2030112.2030222
EID:

2-s2.0-80054070022
Contributors: Vu, T.T.; Sokan, A.; Nakajo, H.; Fujinami, K.; Suutala, J.; Siirtola, P.; Alasalmi, T.; Pitkänen, A.; Roning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Efficient accelerometer-based swimming exercise tracking

IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining
2011 | Conference paper
DOI: 10.1109/CIDM.2011.5949430
EID:

2-s2.0-79961204146
Contributors: Siirtola, P.; Laurinen, P.; Roning, J.; Kinnunen, H.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Feature selection and activity recognition to detect water waste from water tap usage

Proceedings - 1st International Workshop on Cyber-Physical Systems, Networks, and Applications, CPSNA 2011, Workshop Held During RTCSA 2011
2011 | Conference paper
DOI: 10.1109/RTCSA.2011.47
EID:

2-s2.0-84855537543
Contributors: Vu, T.T.; Sokan, A.; Nakajo, H.; Fujinami, K.; Suutala, J.; Siirtola, P.; Alasalmi, T.; Pitkänen, A.; Röning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Improving the classification accuracy of streaming data using SAX similarity features

Pattern Recognition Letters
2011 | Journal article
DOI: 10.1016/j.patrec.2011.06.025
EID:

2-s2.0-79960657972
Contributors: Siirtola, P.; Koskimäki, H.; Huikari, V.; Laurinen, P.; Röning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Periodic quick test for classifying long-term activities

IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining
2011 | Conference paper
DOI: 10.1109/CIDM.2011.5949426
EID:

2-s2.0-79961194694
Contributors: Siirtola, P.; Koskimaki, H.; Roning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Recognizing user interface control gestures from acceleration data using time series templates

ICINCO 2010 - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics
2010 | Conference paper
EID:

2-s2.0-78649663459
Contributors: Siirtola, P.; Laurinen, P.; Koskimäki, H.; Röning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

User-independent activity recognition for industrial assembly lines-feature vs. instance selection

ICPCA10 - 5th International Conference on Pervasive Computing and Applications
2010 | Conference paper
DOI: 10.1109/ICPCA.2010.5704118
EID:

2-s2.0-79952023524
Contributors: Huikari, V.; Koskimäki, H.; Siirtola, P.; Röning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Activity recognition using a wrist-worn inertial measurement unit: A case study for industrial assembly lines

2009 17th Mediterranean Conference on Control and Automation, MED 2009
2009 | Conference paper
DOI: 10.1109/MED.2009.5164574
EID:

2-s2.0-84942807667
Contributors: Koskimäki, H.; Huikari, V.; Siirtola, P.; Laurinen, P.; Röning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Clustering-based activity classification with a wrist-worn accelerometer using basic features

2009 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2009 - Proceedings
2009 | Conference paper
DOI: 10.1109/CIDM.2009.4938635
EID:

2-s2.0-67650528763
Contributors: Siirtola, P.; Laurinen, P.; Haapalainen, E.; Röning, J.; Kinnunen, H.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Mining an optimal prototype from a periodic time series: An evolutionary computation-based approach

2009 IEEE Congress on Evolutionary Computation, CEC 2009
2009 | Conference paper
DOI: 10.1109/CEC.2009.4983296
EID:

2-s2.0-70450014594
Contributors: Siirtola, P.; Laurinen, P.; Röning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

A weighted distance measure for calculating the similarity of sparsely distributed trajectories

Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008
2008 | Conference paper
DOI: 10.1109/ICMLA.2008.118
EID:

2-s2.0-60649099993
Contributors: Siirtola, P.; Laurinen, P.; Röning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

Exercise energy expenditure estimation based on acceleration data using the linear mixed model

2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008
2008 | Conference paper
DOI: 10.1109/IRI.2008.4583018
EID:

2-s2.0-51949099647
Contributors: Haapalainen, E.; Laurinen, P.; Siirtola, P.; Röning, J.; Kinnunen, H.; Jurvelin, H.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier

SignalPlayer-a time series visualization system

Proceedings of the Finnish Signal Processing Symposium (FINSIG 2007)
2007 | Conference paper
Source: Self-asserted source
Pekka Siirtola

Efficient algorithm for calculating similarity between trajectories containing an increasing dimension

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2006
2006 | Conference paper
EID:

2-s2.0-38049166259
Contributors: Laurinen, P.; Siirtola, P.; Röning, J.
Source: Self-asserted source
Pekka Siirtola via Scopus - Elsevier
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