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Results: 295
Number of items: 295
  • Kanis, M., Robben, S., & Kröse, B. (2015). How are you doing? Enabling older adults to enrich sensor data with subjective input. In A. A. Salah, B. J. A. Kröse, & D. J. Cook (Eds.), Human Behavior Understanding: 6th International Workshop, HBU 2015 Osaka, Japan, September 8, 2015 : proceedings (pp. 39-51). (Lecture Notes in Computer Science; Vol. 9277). Springer. https://doi.org/10.1007/978-3-319-24195-1_4
  • Open Access
    Hu, N., Englebienne, G., Lou, Z., & Kröse, B. (2015). A Hierarchical Representation for Human Activity Recognition with Noisy Labels. In W. Burgard (Ed.), IROS Hamburg 2015 conference digest: IEEE/RSJ International Conference on Intelligent Robots and Systems : September 28-October 02, 2015, Hamburg, Germany (pp. 2517-2522). IEEE. https://doi.org/10.1109/IROS.2015.7353719
  • Kröse, B. (2014). Analysis of Home Health Sensor Data. In J. van Hoof, G. Demiris, & E. J. M. Wouters (Eds.), Handbook of Smart Homes, Health Care and Well-Being Springer. https://doi.org/10.1007/978-3-319-01904-8_21-1, https://doi.org/10.1007/978-3-319-01583-5_21
  • Robben, S., Pol, M., & Kröse, B. (2014). Longitudinal Ambient Sensor Monitoring for Functional Health Assessments: A Case Study. In UbiComp'14 adjunct: proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: September 13-17, 2014, Seattle, WA, USA (pp. 1209-1216). Association for Computing Machinery. https://doi.org/10.1145/2638728.2638812
  • Nait Aicha, A., Englebienne, G., & Kröse, B. (2014). Modeling Visit Behaviour in Smart Homes using Unsupervised Learning. In UbiComp'14 adjunct: proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: September 13-17, 2014, Seattle, WA, USA (pp. 1193-1200). Association for Computing Machinery. https://doi.org/10.1145/2638728.2638809
  • Open Access
    Kröse, B. J. A., van Oosterhout, T., & Englebienne, G. (2014). Video Surveillance for Behaviour Monitoring in Home Health Care. In A. J. Spink, L. W. S. Loijens, M. Woloszynowska-Fraser, & L. P. J. J. Noldus (Eds.), Proceedings of Measuring Behavior 2014: Wageningen, The Netherlands, August 27‐29, 2014 Measuring Behavior. http://www.measuringbehavior.org/files/2014/Proceedings/Kr%C3%B6se,%20B.J.A.%20-%20MB2014.pdf
  • Rieping, K., Englebienne, G., & Kröse, B. (2014). Behavior Analysis of Elderly using Topic Models. Pervasive and Mobile Computing, 15, 181-199. https://doi.org/10.1016/j.pmcj.2014.07.001
  • Hu, N., Bormann, R., Zwölfer, T., & Kröse, B. (2014). Multi-user identification and efficient user approaching by fusing robot and ambient sensors. In 2014 IEEE International Conference on Robotics and Automation (ICRA 2014): Hong Kong, China, 31 May - 7 June 2014. Proceedings (pp. 5299-5306). IEEE. https://doi.org/10.1109/ICRA.2014.6907638
  • Hu, N., Englebienne, G., Lou, Z., & Kröse, B. (2014). Learning latent structure for activity recognition. In 2014 IEEE International Conference on Robotics and Automation (ICRA 2014): Hong Kong, China, 31 May - 7 June 2014. Proceedings (pp. 1048-1053). IEEE. https://doi.org/10.1109/ICRA.2014.6906983
  • Hu, N., Englebienne, G., & Kröse, B. (2014). A two-layered approach to recognize high-level human activities. In 2014 IEEE RO-MAN: the 23rd IEEE International Symposium on Robot and Human Interactive Communication : August 25-29, 2014 Edinburgh, Scotland, UK (pp. 243-248). IEEE. https://doi.org/10.1109/ROMAN.2014.6926260
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