The Web of Things as an Infrastructure for Improving Users’ Health and Wellbeing

This position paper outlines the authors’ vision on how the Web of Things, using interconnected devices, including sensor nodes, mobile phones and conventional computers can help improve the overall health and wellbeing of its users. We describe ongoing work being carried by our research group both at PUC-Rio and at Lancaster University as well as the motivating background.

[1]  Mark Weiser,et al.  The computer for the 21st Century , 1991, IEEE Pervasive Computing.

[2]  Gregory D. Abowd,et al.  Towards a Better Understanding of Context and Context-Awareness , 1999, HUC.

[3]  Huiru Zheng,et al.  Visualization of data for ambient assisted living services , 2011, IEEE Communications Magazine.

[4]  Yoshinori Takeuchi,et al.  Biological information sensing technologies for medical, health care, and wellness applications , 2011, 16th Asia and South Pacific Design Automation Conference (ASP-DAC 2011).

[5]  Keith Cheverst,et al.  Developing a context-aware electronic tourist guide: some issues and experiences , 2000, CHI.

[6]  Zachary Y. Kerr,et al.  Epidemiology of Weight Training-Related Injuries Presenting to United States Emergency Departments, 1990 to 2007 , 2010, The American journal of sports medicine.

[7]  Bill Serra,et al.  People, Places, Things: Web Presence for the Real World , 2002, Mob. Networks Appl..

[8]  Luca Chittaro,et al.  MOPET: A context-aware and user-adaptive wearable system for fitness training , 2008, Artif. Intell. Medicine.

[9]  Theodoros N. Arvanitis,et al.  The design of the SensVest , 2004, Personal and Ubiquitous Computing.

[10]  Mark Weiser.  The computer for the 21st century , 1991 .

[11]  K Doughty,et al.  Three Generations of Telecare of the Elderly , 1996, Journal of telemedicine and telecare.

[12]  Hugo Fuks,et al.  Web of Things: The Collaborative Interaction Designer Point of View , 2010 .

[13]  Daniel P. Siewiorek,et al.  Activity-Based Computing , 2008, IEEE Pervasive Computing.

[14]  Malcolm Clarke,et al.  Evaluation of the practical feasibility and acceptability of home monitoring in residential homes , 2005, Journal of telemedicine and telecare.

[15]  Ulf Ekelund,et al.  The ABC of Physical Activity for Health: A consensus statement from the British Association of Sport and Exercise Sciences , 2010, Journal of sports sciences.

[16]  Mike Y. Chen,et al.  Tracking Free-Weight Exercises , 2007, UbiComp.

[17]  Albrecht Schmidt,et al.  Implicit human computer interaction through context , 2000, Personal Technologies.

[18]  V. Pentikäinen,et al.  TERVA: system for long-term monitoring of wellness at home. , 2001, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[19]  Antonio F. Gómez-Skarmeta,et al.  An internet of things–based personal device for diabetes therapy management in ambient assisted living (AAL) , 2011, Personal and Ubiquitous Computing.

[20]  Paul Lukowicz,et al.  Rapid Prototyping of Activity Recognition Applications , 2008, IEEE Pervasive Computing.

[21]  Ilias Maglogiannis,et al.  Emergency incidents detection in assisted living environments utilizing sound and visual perceptual components , 2009, PETRA '09.

[22]  Yvonne Rogers,et al.  Moving on from Weiser's Vision of Calm Computing: Engaging UbiComp Experiences , 2006, UbiComp.

[23]  Carmen C. Y. Poon,et al.  Guest Editorial Body Sensor Networks: From Theory to Emerging Applications , 2009, IEEE Transactions on Information Technology in Biomedicine.

[24]  S. Blair.  Physical inactivity: the biggest public health problem of the 21st century. , 2009, British journal of sports medicine.

[25]  Elizabeth D. Mynatt,et al.  Increasing the opportunities for aging in place , 2000, CUU '00.

[26]  Andy Hopper,et al.  The active badge location system , 1992, TOIS.

[27]  Paul Lukowicz,et al.  Distributed Modular Toolbox for Multi-modal Context Recognition , 2006, ARCS.