dr.ing. G. Englebienne (Gwenn)

Universitair docent


Speech Recognition
Smart Home
Neural Networks
Long Short-Term Memory


Nait Aicha, A., Englebienne, G., & Kröse, B. J. A. (2018). Continuous measuring of the indoor walking speed of older adults living alone. Journal of ambient intelligence and humanized computing, 9(3), 589-599. DOI: 10.1007/s12652-017-0456-x
Nait Aicha, A., Englebienne, G., & Kröse, B. J. A. (2017). Unsupervised visit detection in smart homes. Pervasive and Mobile Computing, 34, 157-167. DOI: 10.1016/j.pmcj.2016.05.003
Hu, N., Englebienne, G., Lou, Z., & Kröse, B. J. A. (2017). Learning to Recognize Human Activities Using Soft Labels. IEEE transactions on pattern analysis and machine intelligence, 39(10), 1973-1984. DOI: 10.1109/TPAMI.2016.2621761
van Houwelingen-Snippe, J., Vroon, J. H., Englebienne, G., & Haselager, W. F. G. (2017). Blame my telepresence robot Joint effect of proxemics and attribution on interpersonal attraction. In 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) (pp. 162-168). IEEE. DOI: 10.1109/ROMAN.2017.8172296
de Visser, M., Miao, S., Englebienne, G., Sools, A. M., & Visscher, K. (2017). Machine-based mapping of innovation portfolios. 667-671. Paper presented at 18th International CINet Conference, Potsdam, Germany.
Kim, J., Truong, K., Englebienne, G., & Evers, V. (2017). Learning spectral-temporal features with 3D CNNs for speech emotion recognition. Paper presented at 7th International Conference on Affective Computing and Intelligent Interaction, San Antonio, United States.
Kim, J., Englebienne, G., Truong, K. P., & Evers, V. (2017). Deep Temporal Models using Identity Skip-Connections for Speech Emotion Recognition. In MM '17: Proceedings of the 2017 ACM on Multimedia Conference (pp. 1006-1013). Association for Computing Machinery. DOI: 10.1145/3123266.3123353
Kim, J., Englebienne, G., Truong, K. P., & Evers, V. (2017). Towards Speech Emotion Recognition "in the wild" using Aggregated Corpora and Deep Multi-Task Learning. In Interspeech 2017: 20-24 August 2017, Stockholm (pp. 1113-1117). International Speech Communication Association (ISCA). DOI: 10.21437/Interspeech.2017
Robben, S., Englebienne, G., & Krose, B. J. A. (2016). Delta Features From Ambient Sensor Data are Good Predictors of Change in Functional Health. IEEE journal of biomedical and health informatics, 21(4), 986-993. DOI: 10.1109/JBHI.2016.2593980
Vroon, J. H., Englebienne, G., & Evers, V. (2016). Responsive Social Agents: Feedback-Sensitive Behavior Generation for Social Interactions. In A. Agah, J-J. Cabibihan, A. M. Howard, M. A. Salichs, & H. He (Eds.), Social Robotics: 8th International Conference, ICSR 2016, Kansas City, MO, USA, November 1-3, 2016 Proceedings (pp. 126-137). (Lecture notes in computer science; Vol. 9979). DOI: 10.1007/978-3-319-47437-3_13

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Universiteit Twente
Faculteit Elektrotechniek, Wiskunde en Informatica
Zilverling (gebouwnr. 11), kamer 2098
Hallenweg 19
7522NH  Enschede

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Universiteit Twente
Faculteit Elektrotechniek, Wiskunde en Informatica
Zilverling  2098
Postbus 217
7500 AE Enschede