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Mining Local Process Models with Constraints Efficiently: Applications to the Analysis of Smart Home Data., , , and . Intelligent Environments, page 56-63. IEEE, (2018)Does Being Monitored during Sleep Affect People on a Cognitive and a Behavioral Level?, , and . HEALTHINF, page 27-33. SciTePress, (2014)Layered Protocols: hands-on experience., , and . Int. J. Hum. Comput. Stud., 44 (1): 45-72 (1996)Time-frequency analysis of heart rate variability for sleep and wake classification., , , , and . BIBE, page 85-90. IEEE Computer Society, (2012)Heuristic approaches for generating Local Process Models through log projections., , , and . SSCI, page 1-8. IEEE, (2016)Actigraphy-based sleep/wake detection for insomniacs., , , and . BSN, page 1-4. IEEE, (2017)Using dynamic time warping for sleep and wake discrimination., , , , and . BHI, page 886-889. IEEE, (2012)Relation between DSIS and DSCQS for temporal and spatial video artifacts in a wireless home environment., , and . Human Vision and Electronic Imaging, volume 6492 of SPIE Proceedings, page 64920L. SPIE, (2007)The theoretical foundation and validity of a component-based usability questionnaire., , and . Behav. Inf. Technol., 28 (2): 121-137 (2009)Usability Evaluation of Component-Based User Interfaces., , and . INTERACT, page 767-768. IOS Press, (2001)