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Le Nguyen Ngu

Le Ngu Nguyen

  • Aalto University
  • Maarintie 8
  • 02150 Espoo
  • Finland
  • le.ngu.[lastname][at]aalto.fi

Le is a doctoral student at Aalto University. His research interests include usable security (e.g. audio-based device pairing or image-based user authentication), and machine learning applications in pervasive computing (e.g. sport activity analysis).

Publications

  2019 (5)
Learning a Classification Model over Vertically-Partitioned Healthcare Data. Nguyen, L. N.; and Sigg, S. IEEE Multimedia Communications – Frontiers, SI on Social and Mobile Connected Smart Objects. 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
Learning with Vertically Partitioned Data, Binary Feedback and Random Parameter update. Nguyen, L. N.; and Sigg, S. In Workshop on Hot Topics in Social and Mobile Connected Smart Objects, in conjuction with IEEE International Conference on Computer Communications (INFOCOM), 2019.
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Security Properties of Gait for Mobile Device Pairing. Bruesch, A.; Nguyen, L. N.; Schuermann, D.; Sigg, S.; and Wolf, L. IEEE Transactions on Mobile Computing. 2019.
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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 (5)
Moves like Jagger: Exploiting variations in instantaneous gait for spontaneous device pairing . Schürmann, D.; Brüsch, A.; Nguyen, N.; Sigg, S.; and Wolf, L. Pervasive and Mobile Computing , 47. July 2018.
Moves like Jagger: Exploiting variations in instantaneous gait for spontaneous device pairing  [link] paper   doi   bibtex   abstract
Representation Learning for Sensor-based Device Pairing. Nguyen, L. N.; Sigg, S.; and Kulau, U. In 2018 IEEE International Conference on Pervasive Computing and Communication (WiP), March 2018.
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Demo of BANDANA – Body Area Network Device-to-device Authentication Using Natural gAit. Nguyen, L. N.; Kaya, C. Y.; Bruesch, A.; Schuermann, D.; Sigg, S.; and Wolf, L. In 2018 IEEE International Conference on Pervasive Computing and Communication (Demo), March 2018.
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Secure Context-based Pairing for Unprecedented Devices. Nguyen, L. N.; and Sigg, S. In 2018 IEEE International Conference on Pervasive Computing and Communication (adjunct), March 2018.
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User Authentication based on Personal Image Experiences. Nguyen, L. N.; and Sigg, S. In 2018 IEEE International Conference on Pervasive Computing and Communication (adjunct), March 2018.
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  2017 (2)
PassFrame: Generating Image-based Passwords from Egocentric Videos. Nguyen, L. N.; and Sigg, S. In 2017 IEEE International Conference on Pervasive Computing and Communication (WiP), March 2017.
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Demo of PassFrame: Generating Image-based Passwords from Egocentric Videos. Nguyen, L. N.; and Sigg, S. In 2017 IEEE International Conference on Pervasive Computing and Communication (demo), March 2017.
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  2015 (2)
Basketball Activity Recognition Using Wearable Inertial Measurement Units. Nguyen, L. N.; Rodríguez-Martín, D.; Català, A.; Pérez-López, C.; Samà, A.; and Cavallaro, A. In Proceedings of the XVI International Conference on Human Computer Interaction, of Interacci\ón '15, 2015.
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Feature Learning for Interaction Activity Recognition in RGBD Videos. Nguyen, L. N. CoRR, abs/1508.02246. 2015.
Feature Learning for Interaction Activity Recognition in RGBD Videos [link]Paper   bibtex
  2014 (1)
Secure Authentication for Mobile Devices Based on Acoustic Background Fingerprint. Quach, Q.; Nguyen, L. N.; and Dinh, T. pages 375–387. Springer International Publishing, Cham, 2014.
Secure Authentication for Mobile Devices Based on Acoustic Background Fingerprint [link]Paper   doi   bibtex
  2012 (3)
AdhocPairing: Spontaneous audio based secure device pairing for Android mobile devices. Sigg, S.; Nguyen, L. N.; Huynh, A.; and Ji, Y. In Proceedings of the 4th International Workshop on Security and Privacy in Spontaneous Interaction and Mobile Phone Use, in conjunction with Pervasive 2012, June 2012.
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Using ambient audio in secure mobile phone communication. Nguyen, L. N.; Sigg, S.; Huynh, A.; and Ji, Y. In Proceedings of the 10th IEEE International Conference on Pervasive Computing and Communications (PerCom), WiP session, March 2012.
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Pattern-based Alignment of Audio Data for Ad-hoc Secure Device Pairing. Nguyen, L. N.; Sigg, S.; Huynh, A.; and Ji, Y. In Proceedings of the 16th annual International Symposium on Wearable Computers (ISWC), June 2012.
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Maarintie 8, 00076 Espoo; +358 (0)50 4666941; ambience-elec@aalto.fi