Pekka Siirtola
Orcid: 0000-0002-5995-5421
According to our database1,
Pekka Siirtola
authored at least 58 papers
between 2006 and 2023.
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Bibliography
2023
Predicting Emotion with Biosignals: A Comparison of Classification and Regression Models for Estimating Valence and Arousal Level Using Wearable Sensors.
Sensors, February, 2023
11th International Workshop on Human Activity Sensing Corpus and Applications (HASCA).
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023
2022
J. Comput. Inf. Sci. Eng., 2022
Impacts of Data Synthesis: A Metric for Quantifiable Data Standards and Performances.
Data, 2022
Feature Relevance Analysis to Explain Concept Drift - A Case Study in Human Activity Recognition.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022
10th International Workshop on Human Activity Sensing Corpus and Applications (HASCA).
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022
2021
Context-aware incremental learning-based method for personalized human activity recognition.
J. Ambient Intell. Humaniz. Comput., 2021
PulSync: The Heart Rate Variability as a Unique Fingerprint for the Alignment of Sensor Data Across Multiple Wearable Devices.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021
Proceedings of the Public Health and Informatics, 2021
9th International Workshop on Human Activity Sensing Corpus and Applications (HASCA).
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021
2020
Comparison of Regression and Classification Models for User-Independent and Personal Stress Detection.
Sensors, 2020
8th international workshop on human activity sensing corpus and applications (HASCA).
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020
2019
Incremental Learning to Personalize Human Activity Recognition Models: The Importance of Human AI Collaboration.
Sensors, 2019
From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone.
CoRR, 2019
Wrist-worn Wearable Sensors to Understand Insides of the Human Body: Data Quality and Quantity.
Proceedings of the 5th ACM Workshop on Wearable Systems and Applications, 2019
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
7th international workshop on human activity sensing corpus and applications (HASCA).
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
Importance of user inputs while using incremental learning to personalize human activity recognition models.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
OpenHAR: A Matlab Toolbox for Easy Access to Publicly Open Human Activity Data Sets - Introduction and Experimental Results.
Proceedings of the Human Activity Sensing - Corpus and Applications, 2019
2018
Sensors, 2018
Revisiting "Recognizing Human Activities User- Independently on Smartphones Based on Accelerometer Data" - What Has Happened Since 2012?.
Int. J. Interact. Multim. Artif. Intell., 2018
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018
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
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
6th International Workshop on Human Activity Sensing Corpus and Applications (HASCA).
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
MyoGym: introducing an open gym data set for activity recognition collected using myo armband.
Proceedings of the Adjunct 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
Computer game and wearable sensors based approach to promote physical activity for young men.
Proceedings of the Adjunct 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
Early detection of migraine attacks based on wearable sensors: experiences of data collection using Empatica E4.
Proceedings of the Adjunct 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
2016
Personal models for eHealth - improving user-dependent human activity recognition models using noise injection.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Reducing Uncertainty in User-independent Activity Recognition - A Sensor Fusion-based Approach.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016
Proceedings of the 19th International Conference on Information Fusion, 2016
From User-independent to Personal Human Activity Recognition Models Using Smartphone Sensors.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Recognizing Unseen Gym Activities from Streaming Data - Accelerometer Vs. Electromyogram.
Proceedings of the Distributed Computing and Artificial Intelligence, 2016
Software Design Principles for Digital Behavior Change Interventions - Lessons Learned from the MOPO Study.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016
2015
Recognizing human activities based on wearable inertial measurements:methods and applications.
PhD thesis, 2015
Recognizing Human Activities Based on Wearable Inertial Measurements - Methods and Applications.
Int. J. Interact. Multim. Artif. Intell., 2015
2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
2013
Behavior modeling in industrial assembly lines using a wrist-worn inertial measurement unit.
J. Ambient Intell. Humaniz. Comput., 2013
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013
2012
Recognizing Human Activities User-independently on Smartphones Based on Accelerometer Data.
Int. J. Interact. Multim. Artif. Intell., 2012
User-Independent Human Activity Recognition Using a Mobile Phone: Offline Recognition vs. Real-Time on Device Recognition.
Proceedings of the Distributed Computing and Artificial Intelligence, 2012
2011
Improving the classification accuracy of streaming data using SAX similarity features.
Pattern Recognit. Lett., 2011
Feature Selection and Activity Recognition to Detect Water Waste from Water Tap Usage.
Proceedings of the 17th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2011
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011
2010
Recognizing user Interface Control Gestures from Acceleration Data using Time Series Templates.
Proceedings of the ICINCO 2010, 2010
2009
Clustering-based activity classification with a wrist-worn accelerometer using basic features.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009
Mining an optimal prototype from a periodic time series: An evolutionary computation-based approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Exercise energy expenditure estimation based on acceleration data using the linear mixed model.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2008
A Weighted Distance Measure for Calculating the Similarity of Sparsely Distributed Trajectories.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
2006
Efficient Algorithm for Calculating Similarity between Trajectories Containing an Increasing Dimension.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2006