@book{4336, abstract = {{Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.}}, editor = {{Holzinger, Andreas and Röcker, Carsten and Ziefle, Martina}}, isbn = {{978-3-319-16225-6}}, issn = {{1611-3349}}, keywords = {{HCI, ambient assisted living, big data, computational intelligence, context awareness, data centric medicine, decision support, interactive data mining, keyword detection, knoweldge bases, knoweldge discovery, machine learning, medical decision support, medical informatics, natural language processing, pervasive health, smart home, ubiquitous computing, visualization, wearable sensors}}, pages = {{275}}, publisher = {{Springer}}, title = {{{Smart Health: Open Problems and Future Challenges}}}, doi = {{10.1007/978-3-319-16226-3}}, volume = {{8700}}, year = {{2015}}, } @inbook{4338, abstract = {{Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Advancements in ubiquitous computing applications in combination with the use of sophisticated intelligent sensor networks may provide a basis for help. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. In such a system the medical doctors are supported by their smart mobile medical assistants on managing their floods of data semi-automatically by following the human-in-the-loop concept. At the same time patients are supported by their health assistants to facilitate a healthier life, wellness and wellbeing.}}, author = {{Holzinger, Andreas and Röcker, Carsten and Ziefle, Martina}}, booktitle = {{ Smart Health : Open Problems and Future Challenges}}, editor = {{Holzinger, Andreas and Röcker, Carsten and Ziefle, Martina}}, isbn = {{978-3-319-16225-6}}, keywords = {{Smart health, Smart hospital, Ubiquitous computing, Pervasive health, P4 medicine, Context awareness, Computational intelligence}}, pages = {{1 -- 20}}, publisher = {{Springer}}, title = {{{From Smart Health to Smart Hospitals}}}, doi = {{10.1007/978-3-319-16226-3_1}}, volume = {{8700}}, year = {{2015}}, } @inproceedings{4374, abstract = {{Our goal is to develop a system for coaching human motions (e.g. rehabilitation). Such a coaching system should have several function such as motion measurement, evaluation, and feedback. Among all, this paper focuses on how to modify a user’s motion so that it gets closer to the good template of a target motion. To this end, it is important to efficiently advise the user to emulate the crucial features that define the good template. The proposed method automatically mines the crucial features of any kind of motions from a set of all motion features. The crucial features are mined based on feature sparsification through binary classification between the samples of good and other motions.}}, author = {{Ukita, Norimichi and Eimon, Koki and Röcker, Carsten}}, booktitle = {{Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare }}, editor = {{Hein, Andreas}}, isbn = {{978-1-63190-011-2}}, keywords = {{motion coach, rehabilitation, pervasive health, ambient assisted living}}, location = {{Oldenburg}}, pages = {{223--226}}, publisher = {{ ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)}}, title = {{{Mining Crucial Features for Automatic Rehabilitation Coaching Systems}}}, doi = {{10.4108/icst.pervasivehealth.2014.255133}}, year = {{2014}}, } @inbook{4375, abstract = {{This chapter starts with an overview of the technical innovations and societal transformation processes we have seen in the last decades and as well as the consequences those changes have for the design of pervasive healthcare systems. Based on this theoretical foundation, emerging design requirements and research challenges are outlined, which are crucial to be addressed when developing future health technologies.}}, author = {{Röcker, Carsten and Ziefle, Martina and Holzinger, Andreas}}, booktitle = {{Pervasive Health}}, editor = {{Holzinger, Andreas and Ziefle, Martina and Röcker, Carsten}}, isbn = {{978-1-4471-6412-8}}, issn = {{1571-5035}}, keywords = {{Pervasive health, Ambient assisted living, E-Health, Trends, Research challenges, Design requirements}}, pages = {{1 -- 17}}, publisher = {{Springer}}, title = {{{From Computer Innovation to Human Integration: Current Trends and Challenges for Pervasive Health Technologies}}}, doi = {{10.1007/978-1-4471-6413-5_1}}, year = {{2014}}, } @inproceedings{4386, abstract = {{This paper illustrates the development of the roomXT system, a mixed reality communication system for the home domain. RoomXT virtually extends a user's physical environment by providing a “life-like” communication channel for informal and spontaneous interactions. We use a wall-sized display together with head-tracking and 3D rendering to achieve visual contiguity between the real and a virtual environment. As one possible application of this system, we set up a remote dining situation for two users. The dinner table is visually extended into the virtual environment in which a live video stream of the dining partner is shown. Great care was taken in regard to the aesthetic and device-free integration into the living room. First impressions of potential users support the validity of our design decisions.}}, author = {{Heidrich, Felix and Kasugai, Kai and Röcker, Carsten and Russell, Peter and Ziefle, Martina}}, booktitle = {{6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth)}}, keywords = {{pervasive health, ambient assisted living, video, communication, user-centered design}}, location = {{San Diego, CA, USA }}, pages = {{211 -- 214}}, publisher = {{IEEE}}, title = {{{roomXT: Advanced Video Communication for Joint Dining over a Distance}}}, doi = {{10.4108/icst.pervasivehealth.2012.248679}}, year = {{2012}}, }