Saisakul Chernbumroong

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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 ineffective in actual situation, difficult to use and have a low acceptance rate. There is a need for an assisted living solution to become intelligent and also(More)
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)
To cope with the increasing number of ageing population, a type of care which can help prevent or postpone entry into institutional care is preferable. Activity recognition can be used for home-based care in order to help elderly people to remain at home as long as possible. This paper proposes a practical multi-sensor activity recognition system for(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)
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)
In the multi-sensor activity recognition domain, the input space is often large and contains irrelevant and overlapped features. It is important to perform feature selection in order to select the smallest number of features which can describe the outputs. This paper proposes a new feature selection algorithms using the maximal relevance and maximal(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)
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)
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)
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