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Automatic identification of human activity has led to a possibility of providing personalised services in different domains i.e. healthcare, security and sport etc. With advancement in sensor technology, automatic activity recognition can be done in an unobtrusive and non-intrusive way. The placement of the sensor and wearability are ones of vital keys in(More)
Keywords: Assisted living systems Activities of Daily Livings (ADLs) Wrist-worn multi-sensors Elderly care Feature selection and classification a b s t r a c t Assisted living systems can help support elderly persons with their daily activities in order to help them maintain healthy and safety while living independently. However, most current systems are(More)
Activity recognition of an elderly person can be used to provide information and intelligent services to health care professionals, carers, elderly people, and their families so that the elderly people can remain at homes independently. This study investigates the use and contribution of wrist-worn multisensors for activity recognition. We found that(More)
The care of the elderly is complex, with multiple agencies and individuals involved. We propose a new way of developing an ontology to reflect these aspects within a real-time home monitoring system so that it captures real-life circumstances and interactions. Our new methodology incorporates iterative and evaluative stages to ensure the ontology captures(More)
It has been estimated that in the UK National Health Service (NHS) 33% of nurses spend at least an hour in a shift on non-productive activities, equals 40 hours a month and costs the NHS approximately £900 million per year. This includes searching for equipment and patient records, a situation which will become more acute as the ageing population is(More)
Ambient Intelligent (AmI) technology can be used to help older adults to live longer and independent lives in their own homes. Information collected from AmI environment can be used to detect and understand human behaviour, allowing personalized care. The behaviour pattern can also be used to detect changes in behaviour and predict future trends, so that(More)
Due to the progressive ageing of the world population, new care models are required to maintain elderly's quality of life. These models should include the informal carer (IC) who usually lacks of skills and knowledge to develop assistance tasks. Therefore, support in decision making and informal carer empowerment are crucial to prevent and reduce the burden(More)
This paper investigates the challenges in developing a semantic-based Dementia Care Decision Support System based on the non-intrusive monitoring of the patient's behaviour. Semantic-based approaches are well suited for modelling context-aware scenarios similar to Dementia care systems, where the patient's dynamic behaviour observations (occupants movement,(More)
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