1. 2019
  2. Multimodal data collection for social interaction analysis in-the-wild

    Hung, H., Raman, C., Gedik, E., Tan, S. & Quiros, J. V., 15 Oct 2019, MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia. Association for Computing Machinery (ACM), p. 2714-2715 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  3. Complex conversational scene analysis using wearable sensors

    Hung, H., Gedik, E. & Cabrera Quiros, L., 2019, Multimodal Behavior Analysis in the Wild: Advances and Challenges. Alameda-Pineda, X., Ricci, E. & Sebe, N. (eds.). London: Academic Press, p. 225-245 22 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterScientific

  4. 2018
  5. Capturing human behaviour through wearables by computational analysis of social dynamics

    Gedik, E., 2018, 160 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  6. No-Audio Multimodal Speech Detection in Crowded Social Settings task at MediaEval 2018

    Cabrera-Quiros, L., Gedik, E. & Hung, H., 2018, Working Notes Proceedings of the MediaEval 2018 Workshop. Larson, M., Arora, P., Demarty, C-H., Riegler, M., Bischke, B., Dellandrea, E., Lux, M., Porter, A. & Jones, G. J. F. (eds.). p. 1-3 3 p. (CEUR Workshop Proceedings; vol. 2283).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  7. The MatchNMingle dataset: A novel multi-sensor resource for the analysis of social interactions and group dynamics in-the-wild during free-standing conversations and speed dates

    Cabrera-Quiros, L., Demetriou, A., Gedik, E., van der Meij, L. & Hung, H., 2018, In : IEEE Transactions on Affective Computing. PP, 99, p. 1-17 17 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Towards Analyzing and Predicting the Experience of Live Performances with Wearable Sensing

    Gedik, E., Cabrera-Quiros, L., Martella, C., Englebienne, G. & Hung, H., 2018, In : IEEE Transactions on Affective Computing. PP, 99, p. 1-8 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. 2017
  10. Personalised models for speech detection from body movements using transductive parameter transfer

    Gedik, E. & Hung, H., 1 Aug 2017, In : Personal and Ubiquitous Computing. 21, 4, p. 723-737 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

  11. 2016
  12. Are You (Not) Entertained? Estimating the State of a Crowd in an Event Using Wearable Sensors

    Gedik, E., 2016, UbiComp 2016: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. Lukowicz, P. & Krüger, A. (eds.). New York, NY: Association for Computing Machinery (ACM), p. 405-410 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  13. Estimating self-assessed personality from body movements and proximity in crowded mingling scenarios

    Cabrera Quiros, L., Gedik, E. & Hung, H., 2016, Proceeding ICMI 2016 The 18th ACM International Conference on Multimodal Interaction . Nakano, Y., Andre, E. & Nishida, T. (eds.). New York: Association for Computing Machinery (ACM), p. 238-242 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  14. Speaking Status Detection from Body Movements Using Transductive Parameter Transfer

    Gedik, E. & Hung, H., 2016, UbiComp 2016: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. Lukowicz, P. & Krüger, A. (eds.). New York, NY: Association for Computing Machinery (ACM), p. 69-72 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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