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The CONFIDENCE project has developed a care system that is able to reconstruct a person’s posture and detect abnormal situations, such as falls or loss of consciousness. The system raises an alarm if an abnormal situation is detected.
This care system is also able to detect changes in the user’s behaviour and issue a warning. For instance, if the system notices changes in the user’s gait that may involve a lack of stability, the CONFIDENCE system warns the user about an increased risk of falling, and prevent an accident. Detection of anomalous behaviour utilises prior expert knowledge as well as learnt movement patterns of particular users.
The main features of the CONFIDENCE system will be:
- Reliability. The system has low false alarm rates. This aspect is essential to increase the quality of life of the elderly.
- Self-learning; that is, the system can “learn” from previous situations and from the user behaviour.
- Non-intrusive, in order to preserve the user’s privacy. Moreover, the user keeps control on the alarm protocol and location data is only processed with the consent of the user and for the necessary duration for the provision of a value added service. Thus, CONFIDENCE will follow the Directive 95/46/EC about the protection of personal data and the Directive 2002/58/EC about the protection of personal data in the electronic communication sector.
- Ease of use. The system is easy to use and easy to wear, so that it does not constrain the user’s daily life.
The target group of CONFIDENCE have the following characteristics:
- Elderly over 65 years
- Cared or not by some kind of home assistance provided by Public
- Administration (Municipality or National Health Service)
- Mobility independent and with no particular difficulty with ADL (activities of daily living)
- With fear of falls
- At risk of social exclusion
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