The keynote slides are available from [here](https://drive.google.com/folderview?id=0B_129LgB9f7rfnRpRUlWTWo3RWF1dkctc0ZyOTdtZTduOWppaXJTMS05Q1F6djE0cVF1WkU&usp=sharing):
**Oliver Amft** is a full professor heading the Chair of Sensor Technology and the ACTLab research group at University of Passau, Germany. He received the Dipl.-Ing. (M.Sc.) from Chemnitz Technical University in 1999 and the Dr. Sc. ETH (Ph.D.) from ETH Zurich in 2008, both in Electrical Engineering and Information Technology. Until 2004, he has been an R&D project manager with ABB Inc., leading product developments in embedded communication systems. Between 2009 and 2013 Oliver has been with TU Eindhoven as an assistant professor, where he initiated the ACTLab research group. Oliver's interest focuses on multi-modal activity pattern recognition, human behavior inference algorithms, and ubiquitous sensing systems, with applications (among others) in healthcare, sports, and building automation. Oliver co-authored more than 100 publications and received several awards in this area. He has coordinated the European research consortia iCareNet and GreenerBuildings. For more information, please see: [www.actlab.uni-passau.de](http://www.actlab.uni-passau.de/)
**Keynote Title: "What smart eyeglasses and other wearables will soon know about our body"**
Today's 'smart' wearable devices, whether research prototypes or commercial, are either obtrusive or suffer from very limited functionality. However, combined sensing and processing could enable daily accessories to provide additional context-aware functions or gather data that is otherwise available in lab settings only. In this talk, I will introduce our recent work on smart eyeglasses that provide unique access to physiological and activity data and thus have the potential to change the way eyeglasses are being used today. Moreover, I will show examples of context-aware wearables that we use in circadian phase modelling, stroke patient recovery tracking, and cardiorespiratory fitness estimation without maximal or sub-maximal tests. The activity recognition and discovery algorithms that drive the before-mentioned applications will be discussed with an emphasis on their dynamic adaptivity and energy efficiency for continuous everyday operation.
** Gülüstü Kaptanoğlu**
**Gülüstü Kaptanoğlu,** M.D. graduated from Istanbul Medical Faculty of Istanbul University (1991), completed residency in Neurology and fellowship in Behavioral Neurology and Movement Disorders Clinic of same Medical School (1998), was awarded a scholarship from TEV (Turkish Education Foundation) for clinical research in Alzheimer's Disease and worked with Prof Marsel Mesulam and Prof Sandra Weintraub at Cognitive Neurology and Alzheimer's Disease Research Center of Northwestern University, as a research fellow and a research associate (1998-2002). Dr Kaptanoğlu has been in private practice, running her own Behavioral Neurology, Dementia and Movement Disorders Clinic since 2003 and teaches part time at Boğaziçi University, conducts clinical research in affiliation with a group of dementia specialists. Gülüstü Kaptanoğlu is also a founder and president of the 65+ Elders Rights Association of Turkey."
**Keynote Title: "In sickness and in health"**
There are various levels the field of pervasive health can touch lives. Healthy and active living already benefits from feedback provided from wearable devices. For health related questions, search engines are sought more often than physicians and electronic health records are part of our lives. Everyday on the news there is again some health issue our smart phones can diagnose and treat. In this talk as a neurodegenerative disease specialist working with elderly patients with Parkinson's disease or Alzheimer's disease and the like, I will go over the potential clinical application of the tools we already have and drive attention to what we will need in the near future. The levels of healthcare we need to discuss are effective aid in patient assessment, diagnosis, followup, treatment, improvements in daily life and last but not the least preventive measures. I will be going over different variables of patient assessment like cognition, behavior, movement, sleep and autonomic nervous system and look at how both physicians and patients can be aided in evaluation and followup by new technologies. As a specific example our ongoing research with Parkinson's disease and other movement disorders patients will be summarized.
**Paul Lukowicz** is Professor of AI at the DFKI and Kaiserslautern University of Technology in Germany where he heads the Embedded Intelligence group. He holds an MSc. and a Ph.D. in Computer Science and a MSc. in Physics. His research focuses on context aware ubiquitous and wearable systems including sensing, pattern recognition, system architectures, models of large scale self organized systems, and applications. These include a long history of pervasive health related projects ranging from wearable monitors for cardiac patients, through smartphone based analysis of mood related disorders, to various smart home based AAL approaches.
**Keynote Title: "Sensing trends for pervasive healthcare"**
The talk will discuss new sensing trends and their relevance for Pervasive Health. It will on one hand analyze available and emerging commercial devices including smart watches and smart glasses with respect to various health related application areas. On the other hand the talk will present a range of experimental devices developed by our group such as large scale textile pressure sensor arrays, textile capacitive sensors and infrared sensor arrays. We will discuss the sensor principle, their limitations as well as concrete applications. Overall the aim will be to provide the auf´audience with an in depth overview and understanding of what to expect in terms of sensing opportunities in the next future.