Abstract
Recent advances in mobile positioning systems and telecommunications are providing the technology needed for the development of location-aware tele-care applications. This paper introduces CAALYX – Complete Ambient Assisted Living Experiment, an EU-funded project that aims at increasing older people's autonomy and self-confidence by developing a wearable light device capable of measuring specific vital signs of the elderly, detecting falls and location, and communicating automatically in real-time with his/her care provider in case of an emergency, wherever the older person happens to be, at home or outside.
Highlights
Back in January 2003, we explored the concept of 'location-based health information services', and presented it as a new paradigm in personalised health information delivery [1]
To be able to offer to users proper help during emergencies wherever they might be, a service would ideally require both detailed information about user's current medical status and details of the user's current location in order to dispatch a suitably equipped emergency team to the patient, and that is exactly what we are developing in CAALYX
This is helped by the fact that CAALYX does not rely on fixed fall sensors installed in one place, like infrared fall detection sensors or cameras that are physically tied to, and configured for, an older person's residence and need to first learn about his/her daily routine movement, but uses novel wearable fall sensors
Summary
Back in January 2003, we explored the concept of 'location-based health information services', and presented it as a new paradigm in personalised health information delivery [1]. To be able to offer to users proper help during emergencies wherever they might be (including incidents in which patients are unconscious or unable to adequately describe their location for any reason), a service would ideally require both detailed information about user's current medical status and details of the user's current location in order to dispatch a suitably equipped emergency team to the patient, and that is exactly what we are developing in CAALYX This is helped by the fact that CAALYX does not rely on fixed fall sensors installed in one place (at home), like infrared fall detection sensors or cameras (computer vision) that are physically tied to, and configured for, an older person's residence and need to first learn about his/her daily routine movement, but uses novel wearable fall sensors (featuring integrated accelerometers and gyroscopes, developed at the University of Limerick, Ireland and at the National University of Ireland, Galway, Ireland, an affiliate of the University of Limerick for the purposes of this project). As such CAALYX has the potential of setting the standards and providing a 'modus operandi' or 'best-practice' model for wireless location privacy in mobile, location-intelligent/enabled ehealth services
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