Recognizing Human Activities Based on Wearable Inertial Measurements - Methods and Applications
DOI:
https://doi.org/10.9781/ijimai.2015.336Keywords:
Patterns, Activity recognition, Sensor NetworksAbstract
On April 10 of 2015 Pekka Siirtola defended his PhD thesis, called “Recognizing Human Activities Based on Wearable Inertial Measurements - Methods and Applications” [1]. The thesis was supervised by Professor Juha Röning and pre-eximined by Associate Professors Ulf Johansson from University of Borås, Sweden, and Daniel Roggen from University of Sussex, United Kingdom. Pekka Siirtola successfully defended his thesis against his opponent Professor Barbara Hammer from University of Bielefeld, Germany. This publicly open defence was held in Auditorium TS101 at University of Oulu, Finland.Downloads
References
[1] Siirtola, Pekka (2015), “Recognizing human activities based on wearable inertial measurements: methods and applications”, Department of Computer Science and Engineering, University of Oulu, April, Acta Universitatis Ouluensis C 524.
[2] Siirtola P & Röning J (2012), “Recognizing Human Activities Userindependently on Smartphones Based on Accelerometer Data”, International Journal of Interactive Multimedia and Artificial Intelligence (1), 5 (June 2012), 38-45.
[3] Siirtola P & Röning J (2013), “Ready-to-Use Activity Recognition for Smartphones”. IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2013), 16-19 April 2013, 59—64.
[4] Siirtola P, Laurinen P, Röning J & Kinnunen H (2011), “Efficient Accelerometer-Based Swimming Exercise Tracking”, IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011), April 11-15, 156-161.
[5] Siirtola P, Koskimäki H & Röning J (2011), “Periodic Quick Test for Classifying Long-term Activities”, IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011), April 11-15, 135--140.
[6] Siirtola P, Koskimäki H, Laurinen P, Huikari V & Röning J (2011), “Improving the Classification Accuracy of Streaming Data Using SAX Similarity Features”, Pattern Recogn. Lett. 32, 13 (October 2011), 1659-1668.
[7] Koskimäki H, Huikari V, Siirtola P & Röning J (2013), “Behavior modelling in industrial assembly lines using a wrist-worn inertial measurement unit”, Journal of Ambient Intelligence and Humanized Computing: Volume 4, Issue 2 (2013), Page 187-194.
[8] Pacheco A, Bolivar-Baron H, Gonzalez-Crespo R, & Pascual-Espada J (2014), "Reconstruction of High Resolution 3D Objects from Incomplete Images and 3D Information", International Journal of Interactive Multimedia and Artificial Intelligence, vol. 2, issue Regular Issue, no. 6, pp. 7-16.
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