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Pekka Siirtola
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2020 – today
- 2023
- [j12]Pekka Siirtola
, Satu Tamminen
Predicting Emotion with Biosignals: A Comparison of Classification and Regression Models for Estimating Valence and Arousal Level Using Wearable Sensors. Sensors 23(3): 1598 (2023) - [c43]Kazuya Murao
11th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). UbiComp/ISWC Adjunct 2023: 773-776 - [i6]Pekka Siirtola, Juha Röning:
Feature Relevance Analysis to Explain Concept Drift - A Case Study in Human Activity Recognition. CoRR abs/2301.08453 (2023) - 2022
- [j11]Gunjan Chandra
Impacts of Data Synthesis: A Metric for Quantifiable Data Standards and Performances. Data 7(12): 178 (2022) - [j10]Henri Bomström
Digital Twins About Humans - Design Objectives From Three Projects. J. Comput. Inf. Sci. Eng. 22(5) (2022) - [c42]Kazuya Murao
10th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). UbiComp/ISWC Adjunct 2022: 321-323 - [c41]Pekka Siirtola, Juha Röning
Feature Relevance Analysis to Explain Concept Drift - A Case Study in Human Activity Recognition. UbiComp/ISWC Adjunct 2022: 386-391 - 2021
- [j9]Pekka Siirtola
Context-aware incremental learning-based method for personalized human activity recognition. J. Ambient Intell. Humaniz. Comput. 12(12): 10499-10513 (2021) - [c40]Constantino Álvarez Casado
Meditation Detection Using Sensors from Wearable Devices. UbiComp/ISWC Adjunct 2021: 112-116 - [c39]Lam Huynh
StressNAS: Affect State and Stress Detection Using Neural Architecture Search. UbiComp/ISWC Adjunct 2021: 121-125 - [c38]Kazuya Murao, Yu Enokibori, Hristijan Gjoreski
9th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). UbiComp/ISWC Adjunct 2021: 281-284 - [c37]Oana Stoicescu, Eija Ferreira, Satu Tamminen, Pekka Siirtola, Gunjan Chandra, Riitta Veijola, Juha Röning:
ClinFlow - An Interactive Application for Clinical Data Mining. MIE 2021: 268-272 - [c36]Florian Wolling
PulSync: The Heart Rate Variability as a Unique Fingerprint for the Alignment of Sensor Data Across Multiple Wearable Devices. PerCom Workshops 2021: 188-193 - [i5]Lam Huynh, Tri Nguyen, Thu Nguyen, Susanna Pirttikangas, Pekka Siirtola:
StressNAS: Affect State and Stress Detection Using Neural Architecture Search. CoRR abs/2108.12502 (2021) - 2020
- [j8]Pekka Siirtola
Comparison of Regression and Classification Models for User-Independent and Personal Stress Detection. Sensors 20(16): 4402 (2020) - [c35]Kazuya Murao, Yu Enokibori, Hristijan Gjoreski
8th international workshop on human activity sensing corpus and applications (HASCA). UbiComp/ISWC Adjunct 2020: 228-231
2010 – 2019
- 2019
- [j7]Pekka Siirtola
Incremental Learning to Personalize Human Activity Recognition Models: The Importance of Human AI Collaboration. Sensors 19(23): 5151 (2019) - [c34]Pekka Siirtola, Heli Koskimäki, Juha Röning:
Importance of user inputs while using incremental learning to personalize human activity recognition models. ESANN 2019 - [c33]Kazuya Murao
7th international workshop on human activity sensing corpus and applications (HASCA). UbiComp/ISWC Adjunct 2019: 671-673 - [c32]Pekka Siirtola:
Continuous stress detection using the sensors of commercial smartwatch. UbiComp/ISWC Adjunct 2019: 1198-1201 - [c31]Pekka Siirtola, Ella Peltonen
Wrist-worn Wearable Sensors to Understand Insides of the Human Body: Data Quality and Quantity. WearSys@MobiSys 2019: 17-21 - [p1]Pekka Siirtola, Heli Koskimäki, Juha Röning:
OpenHAR: A Matlab Toolbox for Easy Access to Publicly Open Human Activity Data Sets - Introduction and Experimental Results. Human Activity Sensing 2019: 121-133 - [i4]Pekka Siirtola, Heli Koskimäki, Juha Röning:
Importance of user inputs while using incremental learning to personalize human activity recognition models. CoRR abs/1905.11775 (2019) - [i3]Pekka Siirtola, Jukka Komulainen, Vili Kellokumpu:
Effect of context in swipe gesture-based continuous authentication on smartphones. CoRR abs/1905.11780 (2019) - [i2]Pekka Siirtola, Heli Koskimäki, Juha Röning:
From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone. CoRR abs/1905.12285 (2019) - [i1]Pekka Siirtola, Heli Koskimäki, Juha Röning:
Personalizing human activity recognition models using incremental learning. CoRR abs/1905.12628 (2019) - 2018
- [j6]Pekka Siirtola, Juha Röning
Revisiting "Recognizing Human Activities User- Independently on Smartphones Based on Accelerometer Data" - What Has Happened Since 2012?. Int. J. Interact. Multim. Artif. Intell. 5(3): 17-21 (2018) - [j5]Pekka Siirtola
Using Sleep Time Data from Wearable Sensors for Early Detection of Migraine Attacks. Sensors 18(5): 1374 (2018) - [c30]Pekka Siirtola, Jukka Komulainen, Vili Kellokumpu:
Effect of context in swipe gesture-based continuous authentication on smartphones. ESANN 2018 - [c29]Pekka Siirtola, Heli Koskimäki, Juha Röning:
Personalizing human activity recognition models using incremental learning. ESANN 2018 - [c28]Kazuya Murao
6th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). UbiComp/ISWC Adjunct 2018: 1392-1395 - [c27]Pekka Siirtola, Heli Koskimäki
OpenHAR: A Matlab Toolbox for Easy Access to Publicly Open Human Activity Data Sets. UbiComp/ISWC Adjunct 2018: 1396-1403 - [c26]Pekka Siirtola, Heli Koskimäki, Juha Röning:
Experiences with Publicly Open Human Activity Data Sets - Studying the Generalizability of the Recognition Models. ICPRAM 2018: 291-299 - [c25]Xiaoli Liu
Enhancing Veracity of IoT Generated Big Data in Decision Making. PerCom Workshops 2018: 149-154 - 2017
- [c24]Heli Koskimäki
Early detection of migraine attacks based on wearable sensors: experiences of data collection using Empatica E4. UbiComp/ISWC Adjunct 2017: 506-511 - [c23]Heli Koskimäki
Computer game and wearable sensors based approach to promote physical activity for young men. UbiComp/ISWC Adjunct 2017: 512-517 - [c22]Heli Koskimäki
MyoGym: introducing an open gym data set for activity recognition collected using myo armband. UbiComp/ISWC Adjunct 2017: 537-546 - 2016
- [c21]Lauri Tuovinen, Riikka Ahola, Maarit Kangas, Raija Korpelainen, Pekka Siirtola, Tim Luoto, Riitta Pyky, Juha Röning, Timo Jämsä:
Software Design Principles for Digital Behavior Change Interventions - Lessons Learned from the MOPO Study. HEALTHINF 2016: 175-182 - [c20]Heli Koskimäki
Recognizing Unseen Gym Activities from Streaming Data - Accelerometer Vs. Electromyogram. DCAI 2016: 195-202 - [c19]Pekka Siirtola, Heli Koskimäki, Juha Röning:
From User-independent to Personal Human Activity Recognition Models Using Smartphone Sensors. ESANN 2016 - [c18]Heli Koskimäki, Pekka Siirtola:
Adaptive model fusion for wearable sensors based human activity recognition. FUSION 2016: 1709-1713 - [c17]Pekka Siirtola, Juha Röning:
Reducing Uncertainty in User-independent Activity Recognition - A Sensor Fusion-based Approach. ICPRAM 2016: 611-619 - [c16]Heli Koskimäki
Model update in wearable sensors based human activity recognition. SSCI 2016: 1-6 - [c15]Pekka Siirtola
Personal models for eHealth - improving user-dependent human activity recognition models using noise injection. SSCI 2016: 1-7 - 2015
- [b1]Pekka Siirtola:
Recognizing human activities based on wearable inertial measurements:methods and applications. University of Oulu, Finland, 2015 - [j4]Pekka Siirtola:
Recognizing Human Activities Based on Wearable Inertial Measurements - Methods and Applications. Int. J. Interact. Multim. Artif. Intell. 3(3): 49-50 (2015) - 2014
- [c14]Pekka Siirtola
Detecting and profiling sedentary young men using machine learning algorithms. CIDM 2014: 296-303 - [c13]Heli Koskimäki
Recognizing gym exercises using acceleration data from wearable sensors. CIDM 2014: 321-328 - 2013
- [j3]Heli Koskimäki
Behavior modeling in industrial assembly lines using a wrist-worn inertial measurement unit. J. Ambient Intell. Humaniz. Comput. 4(2): 187-194 (2013) - [c12]Pekka Siirtola
Ready-to-use activity recognition for smartphones. CIDM 2013: 59-64 - 2012
- [j2]Pekka Siirtola, Juha Röning
Recognizing Human Activities User-independently on Smartphones Based on Accelerometer Data. Int. J. Interact. Multim. Artif. Intell. 1(5): 38-45 (2012) - [c11]Pekka Siirtola
User-Independent Human Activity Recognition Using a Mobile Phone: Offline Recognition vs. Real-Time on Device Recognition. DCAI 2012: 617-627 - 2011
- [j1]Pekka Siirtola
Improving the classification accuracy of streaming data using SAX similarity features. Pattern Recognit. Lett. 32(13): 1659-1668 (2011) - [c10]Pekka Siirtola
Periodic quick test for classifying long-term activities. CIDM 2011: 135-140 - [c9]Pekka Siirtola
Efficient accelerometer-based swimming exercise tracking. CIDM 2011: 156-161 - [c8]Trang Thuy Vu, Akifumi Sokan, Hironori Nakajo, Kaori Fujinami, Jaakko Suutala, Pekka Siirtola
Detecting water waste activities for water-efficient living. UbiComp 2011: 579-580 - [c7]Trang Thuy Vu, Akifumi Sokan, Hironori Nakajo, Kaori Fujinami, Jaakko Suutala, Pekka Siirtola
Feature Selection and Activity Recognition to Detect Water Waste from Water Tap Usage. RTCSA (2) 2011: 138-141 - 2010
- [c6]Pekka Siirtola, Perttu Laurinen, Heli Koskimäki, Juha Röning:
Recognizing user Interface Control Gestures from Acceleration Data using Time Series Templates. ICINCO (3) 2010: 176-182
2000 – 2009
- 2009
- [c5]Pekka Siirtola
Mining an optimal prototype from a periodic time series: An evolutionary computation-based approach. IEEE Congress on Evolutionary Computation 2009: 2818-2824 - [c4]Pekka Siirtola
Clustering-based activity classification with a wrist-worn accelerometer using basic features. CIDM 2009: 95-100 - 2008
- [c3]Pekka Siirtola
A Weighted Distance Measure for Calculating the Similarity of Sparsely Distributed Trajectories. ICMLA 2008: 802-807 - [c2]Eija Haapalainen
Exercise energy expenditure estimation based on acceleration data using the linear mixed model. IRI 2008: 131-136 - 2006
- [c1]Perttu Laurinen, Pekka Siirtola, Juha Röning:
Efficient Algorithm for Calculating Similarity between Trajectories Containing an Increasing Dimension. Artificial Intelligence and Applications 2006: 392-399
Coauthor Index
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