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Rainhard Findling

Rainhard Findling

  • Aalto University
  • Maarintie 8
  • 00076 Espoo
  • Finland

Rainhard’s focus areas are the machine learning and data analysis parts of using mobile devices/mobile device sensor data to solve problems in mobile environments. Those range from e.g. mobile security and (biometric) authentication over recognition of mobile activities, behavior, or other types of patterns such as location fingerprinting to supporting users in different tasks - and to a number of further interesting topics.

Rainhard was a postdoctoral researcher in the Ambient Intelligence Group 2017-2019, at Aalto University, Finland, in the Department of Communications and Networking, at the School of Electrical Engineering. Before that he has been with the Institute of Networks and Security at the JKU Johannes Kepler University Linz, Austria, from which he received his Dr. techn. degree in Computer Science in 2017, and with the Department of Mobile Computing at the University of Applied Sciences Upper Austria, Campus Hagenberg, from which he received his BSc and MSc degrees in Engineering in 2011 and 2013.

Rainhards personal page

Below is an incomplete list of my publications. Consider also taking a look at the possibly more up-to-date lists at Google Scholar, ResearchGate, and dblp.org.

Publications

  2019 (11)
Hide my Gaze with EOG! Towards Closed-Eye Gaze Gesture Passwords that Resist Observation-Attacks with Electrooculography in Smart Glasses. Findling, R. D.; Quddus, T.; and Sigg, S. In 17th International Conference on Advances in Mobile Computing and Multimedia, 2019.
Hide my Gaze with EOG! Towards Closed-Eye Gaze Gesture Passwords that Resist Observation-Attacks with Electrooculography in Smart Glasses [pdf] paper   bibtex   abstract
Free-Form Gaze Passwords from Cameras Embedded in Smart Glasses. Friström, E.; Lius, E.; Ulmanen, N.; Hietala, P.; Kärkkäinen, P.; Mäkinen, T.; Sigg, S.; and Findling, R. D. In 17th International Conference on Advances in Mobile Computing and Multimedia, 2019.
Free-Form Gaze Passwords from Cameras Embedded in Smart Glasses [pdf] paper   bibtex   abstract
Tennis Stroke Classification: Comparing Wrist and Racket as IMU Sensor Position. Ebner, C. J.; and Findling, R. D. In 17th International Conference on Advances in Mobile Computing and Multimedia, 2019.
Tennis Stroke Classification: Comparing Wrist and Racket as IMU Sensor Position [pdf] paper   bibtex   abstract
CORMORANT: On Implementing Risk-Aware Multi-Modal Biometric Cross-Device Authentication For Android. Hintze, D.; Füller, M.; Scholz, S.; Findling, R. D.; Muaaz, M.; Kapfer, P.; Nüssler, W.; and Mayrhofer, R. In 17th International Conference on Advances in Mobile Computing and Multimedia, 2019.
CORMORANT: On Implementing Risk-Aware Multi-Modal Biometric Cross-Device Authentication For Android [pdf] paper   bibtex   abstract
Predicting the Category of Fire Department Operations. Pirklbauer, K.; and Findling, R. D. In Emerging Research Projects and Show Cases Symposium (SHOW 2019), 2019.
Predicting the Category of Fire Department Operations [pdf] paper   bibtex   abstract
With whom are you talking? Privacy in Speech Interfaces. Backstrom, T.; Das, S.; Zarazaga, P. P.; Sigg, S.; Findling, R.; and Laakasuo, M. In Proceedings of the 4th annual conference of the MyData Global network (MyData 2019), Helsinki, Finland, September 2019.
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On the use of stray wireless signals for sensing: a look beyond 5G for the next generation industry. Savazzi, S.; Sigg, S.; Vicentini, F.; Kianoush, S.; and Findling, R. IEEE Computer, SI on on Transformative Computing and Communication, 52(7): 25-36. 2019.
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CORMORANT: Ubiquitous Risk-Aware Multi-Modal Biometric Authentication Across Mobile Devices. Hintze, D.; Füller, M.; Scholz, S.; Findling, R.; Muaaz, M.; Kapfer, P.; and Mayrhofer, E. K. R. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). September 2019.
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Closed-Eye Gaze Gestures: Detection and Recognition of Closed-Eye Movements with Cameras in Smart Glasses. Findling, R. D.; Nguyen, L. N.; and Sigg, S. In International Work-Conference on Artificial Neural Networks, 2019.
Closed-Eye Gaze Gestures: Detection and Recognition of Closed-Eye Movements with Cameras in Smart Glasses [pdf] paper   doi   bibtex   abstract
Workout Type Recognition and Repetition Counting with CNNs from 3D Acceleration Sensed on the Chest. Skawinski, K.; Roca, F. M.; Findling, R. D.; and Sigg, S. In International Work-Conference on Artificial Neural Networks, volume 11506, of LNCS, pages 347–359, June 2019.
Workout Type Recognition and Repetition Counting with CNNs from 3D Acceleration Sensed on the Chest [pdf] paper   doi   bibtex   abstract
Mobile Brainwaves: On the Interchangeability of Simple Authentication Tasks with Low-Cost, Single-Electrode EEG Devices. Haukipuro, E.; Kolehmainen, V.; Myllarinen, J.; Remander, S.; Salo, J. T.; Takko, T.; Nguyen, L. N.; Sigg, S.; and Findling, R. IEICE Transactions, Special issue on Sensing, Wireless Networking, Data Collection, Analysis and Processing Technologies for Ambient Intelligence with Internet of Things. 2019.
Mobile Brainwaves: On the Interchangeability of Simple Authentication Tasks with Low-Cost, Single-Electrode EEG Devices [pdf] paper   doi   bibtex   abstract
  2018 (1)
Mobile Match-on-Card Authentication Using Offline-Simplified Models with Gait and Face Biometrics. Findling, R.; Hölzl, M.; and Mayrhofer, R. IEEE Transactions on Mobile Computing (TMC), 14(11): 2578-2590. 2018.
Mobile Match-on-Card Authentication Using Offline-Simplified Models with Gait and Face Biometrics [pdf] paper   doi   bibtex   abstract
  2017 (3)
A Large-Scale, Long-Term Analysis of Mobile Device Usage Characteristics. Hintze, D.; Hintze, P.; Findling, R. D; and Mayrhofer, R. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(2): 13. 2017.
A Large-Scale, Long-Term Analysis of Mobile Device Usage Characteristics [pdf] paper   doi   bibtex   abstract
Evaluating the Placement of Arm-Worn Devices for Recognizing Variations of Dynamic Hand Gestures. Kefer, K.; Holzmann, C.; and Findling, R. D. J. Mobile Multimedia, 12(3&4): 225–242. 2017.
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Mobile Wrist Vein Authentication Using SIFT Features. Fernández, P.; and Findling, R. D. In EUROCAST, pages 140, 2017.
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  2016 (3)
Mobile gait match-on-card authentication from acceleration data with offline-simplified models. Findling, R. D.; Hölzl, M.; and Mayrhofer, R. In Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media, pages 250–260, 2016. ACM
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Comparing the placement of two arm-worn devices for recognizing dynamic hand gestures. Kefer, K.; Holzmann, C.; and Findling, R. D. In Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media, pages 99–104, 2016. ACM
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Shakeunlock: Securely transfer authentication states between mobile devices. Findling, R. D.; Muaaz, M.; Hintze, D.; and Mayrhofer, R. IEEE Transactions on Mobile Computing, 16(4): 1163–1175. 2016.
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  2015 (4)
Confidence and risk estimation plugins for multi-modal authentication on mobile devices using cormorant. Hintze, D.; Muaaz, M.; Findling, R. D; Scholz, S.; Koch, E.; and Mayrhofer, R. In Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia, pages 384–388, 2015. ACM
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Cormorant: towards continuous risk-aware multi-modal cross-device authentication. Hintze, D.; Findling, R. D; Muaaz, M.; Koch, E.; and Mayrhofer, R. In Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, pages 169–172, 2015. ACM
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Key Code Recognition: Case Study of Automatically Deriving the Code of a Physical Key from Mobile Device Camera Images for the EVVA A key profile. Findling, R. D. . 2015.
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Towards device-to-user authentication: Protecting against phishing hardware by ensuring mobile device authenticity using vibration patterns. Findling, R. D.; and Mayrhofer, R. In Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia, pages 131–135, 2015. ACM
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  2014 (5)
Optimal derotation of shared acceleration time series by determining relative spatial alignment. Mayrhofer, R.; Hlavacs, H.; and Findling, R. D. In Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services, pages 71–78, 2014. ACM
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Diversity in locked and unlocked mobile device usage. Hintze, D.; Findling, R. D; Muaaz, M.; Scholz, S.; and Mayrhofer, R. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, pages 379–384, 2014. ACM
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Determining Relative Spatial Alignment based on Shared Acceleration Time Series. Mayrhofer, R.; Hlavacs, H.; and Findling, R. D. . 2014.
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Mobile device usage characteristics: The effect of context and form factor on locked and unlocked usage. Hintze, D.; Findling, R. D; Scholz, S.; and Mayrhofer, R. In Proceedings of the 12th international conference on advances in mobile computing and multimedia, pages 105–114, 2014. ACM
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Shakeunlock: Securely unlock mobile devices by shaking them together. Findling, R. D.; Muaaz, M.; Hintze, D.; and Mayrhofer, R. In Proceedings of the 12th International Conference on Advances in Mobile Computing and Multimedia, pages 165–174, 2014. ACM
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  2013 (4)
Range face segmentation: Face detection and segmentation for authentication in mobile device range images. Findling, R. D; Wenny, F.; Holzmann, C.; and Mayrhofer, R. In Proceedings of International Conference on Advances in Mobile Computing & Multimedia, pages 260, 2013. ACM
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Pan shot face unlock: Towards unlocking personal mobile devices using stereo vision and biometric face information from multiple perspectives. Findling, R. D. na, 2013.
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Towards pan shot face unlock: Using biometric face information from different perspectives to unlock mobile devices. Dieter Findling, R.; and Mayrhofer, R. International Journal of Pervasive Computing and Communications, 9(3): 190–208. 2013.
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Towards secure personal device unlock using stereo camera pan shots. Findling, R. D; and Mayrhofer, R. In International Conference on Computer Aided Systems Theory, pages 417–425, 2013. Springer
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  2012 (1)
Towards face unlock: on the difficulty of reliably detecting faces on mobile phones. Findling, R. D; and Mayrhofer, R. In Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia, pages 275–280, 2012. ACM
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Maarintie 8, 00076 Espoo; +358 (0)50 4666941; ambience-elec@aalto.fi