Sensors for Ambient Assisted Living and Smart Homes

Smart homes have developed from science fiction in the middle of the twentieth century into a reality of the twenty-first century. Initial developments were centred in the automation of comfort, energy saving and safety. More recent developments are far more ambitious, aiming to facilitate independence of elderly through the support of daily living activities and to connect the human at home with the health and social services available. This chapter refers to a variety of technologies available for the development of such infrastructures and, without aiming to be an exhaustive survey, it provides a glance at the state of the art in the area. We provide a description of systems which have been developed to assess biometrical indicators of health such as blood pressure, sleeping patterns and stress, all of which have the potential to shape up the healthcare systems of the future.

[1]  J Healey,et al.  Quantifying driver stress: developing a system for collecting and processing bio-metric signals in natural situations. , 1999, Biomedical sciences instrumentation.

[2]  Sokichi Sakuragi,et al.  Effects of laughing and weeping on mood and heart rate variability. , 2002, Journal of physiological anthropology and applied human science.

[3]  M. Bradley,et al.  Looking at pictures: affective, facial, visceral, and behavioral reactions. , 1993, Psychophysiology.

[4]  H. Mattila Intelligent textiles and clothing , 2006 .

[5]  Mario Kolberg,et al.  Services and Policies for Care At Home , 2006, 2006 Pervasive Health Conference and Workshops.

[6]  A. Norris,et al.  Essentials of Telemedicine and Telecare , 2001 .

[7]  Juan Carlos Augusto,et al.  Past, Present and Future of Ambient Intelligence and Smart Environments , 2009, ICAART.

[8]  Sharath Pankanti,et al.  Biometrics: Personal Identification in Networked Society , 2013 .

[9]  K. Hofrichter The residential gateway as service platform , 2001, ICCE. International Conference on Consumer Electronics (IEEE Cat. No.01CH37182).

[10]  Andreas Häber,et al.  Remote Service Usage Through Sip with Multimedia Access as a Use Case , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[11]  Pierre Plaza,et al.  An Optimized eHealth Platfom to Provide Electronic Services over Dynamic Networking Environments , 2009, 2009 Third International Conference on Digital Society.

[12]  Scott F. Midkiff,et al.  An analysis of Bluetooth security vulnerabilities , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[13]  Andrew Hutchison,et al.  Electronic data interchange for health care , 1996 .

[14]  Alfons Schuster,et al.  Intelligent Computing Everywhere , 2007 .

[15]  M. Sagawa,et al.  A new mental stress detection method using biosignals under visual search tasks , 1999, Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N.

[16]  A. K. Blangsted,et al.  The effect of mental stress on heart rate variability and blood pressure during computer work , 2004, European Journal of Applied Physiology.

[17]  W E Hammond Health Level 7. A protocol for the interchange of healthcare data. , 1993, Studies in health technology and informatics.

[18]  H. Mattila 1 – Intelligent textiles and clothing – a part of our intelligent ambience , 2006 .

[19]  Jakob E. Bardram,et al.  Developing Pervasive e-Heatth for Moving Experts from Hospital to Home , 2004 .

[20]  Nikolaos G. Bourbakis,et al.  A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[21]  Kimihiro Yamanaka,et al.  Convenient Evaluation of Mental Stress With Pupil Diameter , 2009, International journal of occupational safety and ergonomics : JOSE.

[22]  Graham Clarke,et al.  Affect-aware behaviour modelling and control inside an intelligent environment , 2010, Pervasive Mob. Comput..

[23]  Brian A. Weiss,et al.  Technology Evaluations and Performance Metrics for Soldier-Worn Sensors for ASSIST | NIST , 2007 .

[24]  I. Mahgoub,et al.  Bluetooth Security in Wearable Computing Applications , 2008, 2008 International Symposium on High Capacity Optical Networks and Enabling Technologies.

[25]  M T Arredondo,et al.  User satisfaction with home telecare based on broadband communication , 2002, Journal of telemedicine and telecare.

[26]  H. Ossebaard,et al.  Stress Reduction by Technology? An Experimental Study into the Effects of Brainmachines on Burnout and State Anxiety , 2000, Applied psychophysiology and biofeedback.

[27]  Ing-Yi Chen,et al.  A Service-Oriented Agent Architecture to Support Telecardiology Services on Demand , 2005 .

[28]  Simon Brownsell,et al.  Predicting need for intervention in individuals with congestive heart failure using a home-based telecare system , 2009, Journal of telemedicine and telecare.

[29]  Clement J. McDonald,et al.  Progress in standardization in health care informatics , 1993 .

[30]  S. Steinhauer,et al.  Respiratory sinus arrhythmia as an index of emotional response in young adults. , 2004, Psychophysiology.

[31]  T. Falck,et al.  Novel ISO/IEEE 11073 Standards for Personal Telehealth Systems Interoperability , 2007, 2007 Joint Workshop on High Confidence Medical Devices, Software, and Systems and Medical Device Plug-and-Play Interoperability (HCMDSS-MDPnP 2007).

[32]  J. Principe,et al.  Evaluation of stress reactivity and recovery using biosignals and fuzzy theory , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[33]  W T Boyce,et al.  Psychobiologic Reactivity to Stress and Childhood Respiratory Illnesses: Results of Two Prospective Studies , 1995, Psychosomatic medicine.

[34]  Jan Treur On Human Aspects in Ambient Intelligence , 2007, AmI Workshops.

[35]  David H. Barlow,et al.  Abnormal Psychology: An Integrative Approach , 1994 .

[36]  Diane J. Cook,et al.  Proceedings of the Eighth International Workshop on Human Aspects in Ambient Intelligence , 2007 .

[37]  Silvia Jiménez-Fernández,et al.  Interoperability of a Mobile Health Care Solution with Electronic Healthcare Record Systems , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[38]  Omer F. Rana,et al.  Novel Sensor Technology Integration for Outcome-Based Risk Analysis in Diabetes , 2008, HEALTHINF.

[39]  J. Cacioppo,et al.  Social neuroscience: autonomic, neuroendocrine, and immune responses to stress. , 1994, Psychophysiology.

[40]  Otthein Herzog,et al.  Empowering the mobile worker by wearable computing - wearIT@work , 2006 .

[41]  Patrick O. Bobbie,et al.  Designing an Embedded Electronic-Prescription Application for Home-Based Telemedicine Using OSGi Framework? , 2003, Embedded Systems and Applications.

[42]  Jeff A. Bilmes,et al.  Rao-Blackwellized Particle Filters for Recognizing Activities and Spatial Context from Wearable Sensors , 2006, ISER.

[43]  Juan Carlos Augusto,et al.  Ambient Intelligence: The Confluence of Ubiquitous/Pervasive Computing and Artificial Intelligence , 2007 .

[44]  V. Shusterman,et al.  Analysis of skin-temperature variability compared to variability of blood pressure and heart rate , 1995, Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society.

[45]  Joseph Wang,et al.  Thick-film textile-based amperometric sensors and biosensors. , 2010, The Analyst.

[46]  Huiru Zheng,et al.  Nocturnal Sensing and Intervention for Assisted Living of People with Dementia , 2012 .

[47]  R. Sietmann,et al.  UNIVERSAL PLUG AND PLAY , 1999 .

[48]  Pedro de las Heras Quirós,et al.  OpenHealth - The OpenHealth FLOSS Implementation of the ISO/IEEE 11073-20601 Standard , 2010, HEALTHINF.