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Results: 9
Number of items: 9
  • Grave, A., Robben, S., Oey, M., Ben Allouch, S., & Mohammadi, M. (2021). Requirement Elicitation and Prototype Development of an Intelligent Environment to Support People with Early Dementia. In 2021 17th International Conference on Intelligent Environments (IE): proceedings : virtual conference : 21-24 June 2021 (pp. 30-37). IEEE. https://doi.org/10.1109/IE51775.2021.9486462
  • Robben, S., Englebienne, G., & Kröse, B. (2017). 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. https://doi.org/10.1109/JBHI.2016.2593980
  • Robben, S., Nait Aicha, A., & Kröse, B. (2016). Measuring Regularity in Daily Behavior for the Purpose of Detecting Alzheimer. In Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare: PervasiveHealth 2016 : 16-19 May 2016, Cancun, Mexico (pp. 97-100). ICST, the Institute for Computer Sciences, Social Informatics and Telecommunicatios Engineering. https://dl.acm.org/citation.cfm?id=3021334
  • Robben, S. M. B., Pol, M. C., Buurman, B. M., & Kröse, B. J. A. (2016). Expert knowledge for modeling functional health from sensor data. Methods of Information in Medicine, 55(6), 516-524. https://doi.org/10.3414/ME15-01-0072
  • 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
  • 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
  • Robben, S., & Kröse, B. (2013). Longitudinal Residential Ambient Monitoring: Correlating Sensor Data to Functional Health Status. In Proceedings of the 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops: PervasiveHealth 2013 : Venice, Italy, May 5-8, 2013 (pp. 244-247). Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST). https://doi.org/10.4108/icst.pervasivehealth.2013.252087
  • Pol, M. C., Poerbodipoero, S., Robben, S., Daams, J., van Hartingsveldt, M., de Vos, R., de Rooij, S. E., Kröse, B., & Buurman, B. M. (2013). Sensor monitoring to measure and support daily functioning for independently living older people: A systematic review and road map for further development. Journal of the American Geriatrics Society, 61(12), 2219-2227. https://doi.org/10.1111/jgs.12563
  • Kanis, M., Robben, S., Hagen, J., Bimmerman, A., Wagelaar, N., & Kröse, B. (2013). Sensor monitoring in the home: giving voice to elderly people. In Proceedings of the 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops: PervasiveHealth 2013 : Venice, Italy, May 5-8, 2013 (pp. 97-100). Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST). https://doi.org/10.4108/icst.pervasivehealth.2013.252060
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