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uni'wissen 02-2015_ENG

Further Reading Scholl, P. M. / Wille, M. / Van Laerhoven, K. (2015): Wearables in the wet lab: A laboratory system for capturing and guiding experiments. The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015). Borazio, M. / Berlin, E. / Kücükyildiz, N. /  Scholl, P. M. / Van Laerhoven, K. (2014): Towards a benchmark for wearable sleep analysis with inertial wrist-worn sensing units. Healthcare Informatics (ICHI). Scholl, P. M. / Kücükyildiz, N. / Van Laerhoven, K. (2013): When do you light a fire? Capturing tobacco use with situated, wearable sensors. First Workshop on Human Factors and Activity Recognition in Healthcare, Wellness and Assisted Living (Recognize2Interact). For more information on how the sensor is built and what else it can be used for, watch our video interview with Prof. Dr. Kristof Van Laerhoven on the research portal Surprising Science: our purposes: They are wireless, have too much content, and thus deplete the battery too quickly. We need sensors that can collect data over the course of several weeks.” He therefore produces the systems himself with his team and sells them for the production price of 40 euros. The researchers have already built almost 1000 sensors, 100 of which are currently in use – both by patients with bipolar disorders and in sleep laboratory studies as well as by patients with diabetes or Huntington’s disease. “I actually see myself as a computer scientist,” the scientist says, “but on account of my research area I’ve become something of a cross between a microsystems engineer and a computer scientist.” He wears one of his sensors day and night him- self to test the system and develop it further. Up to now, the results from practice have been very good and the feedback from patients positive without exception, and this strengthens Van Laerhoven in his conviction that he is on the right track: “We want to eventually convince all psy- chologists that we can offer them a valuable analysis instrument to replace the traditional written records.” Prof. Dr. Kristof Van Laerhoven studied computer science at the University of Brussels, Belgium. He then worked at a research institute in Belgium, cooperating with companies like Nokia, Philips, and Epson. He earned his PhD in 2005 at the University of Lancaster, England. In 2006 he moved to the Tech- nical University of Darmstadt to work on his habilitation thesis, where he led the Emmy Noether research group “Embedded Sensing Systems” starting in 2010. In 2013 he received the Google Glass Award for his work. He has served since 2014 as professor of embed- ded systems at the Univer- sity of Freiburg. His research focuses on wearable sensors, activity recognition, and machine learning. Photo: Thomas Kunz The computer program creates a detailed activity log: It uses the light and temperature data as well as the wearer’s arm and hand movements to determine when he or she was sleeping, riding a bike, walking, or driving a car. Illustration: Arbeitsgruppe Embedded Systems/Universität Freiburg 128 96 64 32 128 96 64 32 256 224 192 160 128 96 64 32 00:00 04:00 08:00 12:00 16:00 20:00 16:38 sleep bike walk car sleep 00:49 08:02 23 00:0004:0008:0012:0016:0020:00 00:4908:02