Intelligent Sensing Systems for Measuring Wellness Indices of the Daily Activities for the Elderly

In this study, we reported integration of Wireless Sensor Network (WSN) based systems for monitoring elderly health perception and daily activity behaviour recognition. The amalgamation of the systems helps in deducing the elderly wellness indices, thereby informing the health care providers about the tendency of unusual behaviour through telecare system. The developed sensing system along with the intelligent software is low cost, flexible, robust and easy to install and monitor elderly living alone.

[1]  Andreas Savvides,et al.  BehaviorScope: Real-Time Remote Human Monitoring Using Sensor Networks , 2008, 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008).

[2]  S.C. Mukhopadhyay,et al.  Continuous monitoring of physiological parameters using smart sensors , 2011, 2011 Fifth International Conference on Sensing Technology.

[3]  H. Jeffreys An invariant form for the prior probability in estimation problems , 1946, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[4]  Diane J. Cook,et al.  Discovering Temporal Features and Relations of Activity Patterns , 2010, 2010 IEEE International Conference on Data Mining Workshops.

[5]  Bernadette Dorizzi,et al.  Human activities of daily living recognition using fuzzy logic for elderly home monitoring , 2009, 2009 IEEE International Conference on Fuzzy Systems.

[6]  Gourab Sen Gupta,et al.  Elder Care Based on Cognitive Sensor Network , 2011, IEEE Sensors Journal.

[7]  R. K. Rayudu,et al.  Wellness determination of inhabitant based on daily activity behaviour in real-time monitoring using Sensor Networks , 2011, 2011 Fifth International Conference on Sensing Technology.

[8]  Zhihai He,et al.  A real-time system for in-home activity monitoring of elders , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  Ig-Jae Kim,et al.  Activity Recognition Using Wearable Sensors for Elder Care , 2008, 2008 Second International Conference on Future Generation Communication and Networking.

[10]  George C. Polyzos,et al.  Monitoring and Modeling Simple Everyday Activities of the Elderly at Home , 2010, 2010 7th IEEE Consumer Communications and Networking Conference.

[11]  P. Laplace A Philosophical Essay On Probabilities , 1902 .

[12]  Ryan O. Murphy,et al.  Using Skin Conductance in Judgment and Decision Making Research , 2011 .

[13]  Jennifer Healey,et al.  Toward Machine Emotional Intelligence: Analysis of Affective Physiological State , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Seon-Woo Lee,et al.  A remote behavioral monitoring system for elders living alone , 2007, 2007 International Conference on Control, Automation and Systems.