Minimal hardware Bluetooth tracking for long-term at-home elder supervision

The ability to automatically detect the location of an elder within their own home is a significant enabler of remote elder supervision and interaction applications. This location information is typically generated via a myriad of sensors throughout the home environment. Even with high sensor redundancy, there are still situations where traditional elder monitoring systems are unable to resolve the location of the elder. This work develops a minimal infrastructure radio-frequency localisation system for long-term elder location tracking. An RFID room-labelling technique is employed and with it, the localisation system developed in this work is shown to exhibit superior performance to more traditional localisation systems in realistic long-term deployments.

[1]  D. Erdogmus,et al.  Continuous Assessment of Gait Velocity in Parkinson's Disease from Unobtrusive Measurements , 2007, 2007 3rd International IEEE/EMBS Conference on Neural Engineering.

[2]  C. N. Scanaill,et al.  A Review of Approaches to Mobility Telemonitoring of the Elderly in Their Living Environment , 2006, Annals of Biomedical Engineering.

[3]  Emmanuel,et al.  Activity recognition in the home setting using simple and ubiquitous sensors , 2003 .

[4]  Beth Logan,et al.  Single access point localisation for wearable wireless sensors , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  Kent Larson,et al.  Embedding Behavior Modification Strategies into a Consumer Electronic Device: A Case Study , 2006, UbiComp.

[6]  Sean McLoone,et al.  Enabling affordable and efficiently deployed location based smart home systems. , 2009, Technology and health care : official journal of the European Society for Engineering and Medicine.

[7]  R. Bajcsy,et al.  Wearable Sensors for Reliable Fall Detection , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[8]  Radford M. Neal Pattern Recognition and Machine Learning , 2007, Technometrics.

[9]  Chris D. Nugent,et al.  Connectivity for Healthcare and Well-Being Management: Examples from Six European Projects , 2009, International journal of environmental research and public health.

[10]  Janna C. Kimel,et al.  Continuous Activity Monitoring and Intelligent Contextual Prompting to Improve Medication Adherence , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.