Editorial Home Automation as a Means of Independent Living

Nugent, Chris; Finlay, Dewar; Fiorini, Paolo; Tsumaki, Yuichi; Prassler, Erwin

doi:10.1109/tase.2007.912247

Cited by 74 publications

(35 citation statements)

References 28 publications

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“…The main idea of these scenarios is to gather information about the environment of the people so that an intelligent system can keep track of their actions and their surroundings and can act when the person needs some assistance. The help received by the person can be on demand or alternatively the system can decide by itself when to take an action in order to assist people [16,7,4,8,13,14,11]. In addition, service robots can be available to assist people alongside the intelligent environment.…”

Section: Introductionmentioning

confidence: 99%

The Intelligent Room for Elderly Care

Mozos

Tsuji

Chae

et al. 2013

Natural and Artificial Models in Computation and Biology

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Abstract. Daily life assistance for elderly is one of the most promising and interesting scenarios for advanced technologies in the near future. Improving the quality of life of elderly is also some of the first priorities in modern countries and societies where the percentage of elder people is rapidly increasing due mainly to great improvements in medicine during the last decades. In this paper, we present an overview of our informationally structured room that supports daily life activities of elderly with the aim of improving their quality of life. Our environment contains different distributed sensors including a floor sensing system and several intelligent cabinets. Sensor information is sent to a centralized management system which processes the data and makes it available to a service robot which assists the people in the room. One important restriction in our intelligent environment is to maintain a small number of sensors to avoid interfering with the daily activities of people and to reduce as much as possible the invasion of their privacy. In addition we discuss some experiments using our real environment and robot.

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Section: Introductionmentioning

confidence: 99%

The Intelligent Room for Elderly Care

Mozos

Tsuji

Chae

et al. 2013

Natural and Artificial Models in Computation and Biology

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“…The reader may wish to consult two reports, 2,3 containing many references, for general discussions of such video systems. Here, we will briefly review various aspects of the problem that relate to our purpose.…”

Section: Introduction and Scope Of Researchmentioning

confidence: 99%

“…Chan et al 2 proposed a general overview of video surveillance systems of the elderly and disabled in order to maintain their independence at home. Other examples of automated methods of assistive domotics are discussed by Nugent et al 3 Markovian models were introduced recently 4 that can be used to detect occurrences of mobile or static states of a subject in a given video sequence. The analysis of such models was carried out by different types of sensors (e.g., motion and infrared sensors).…”

Section: Introduction and Scope Of Researchmentioning

confidence: 99%

Fuzzy logic and optical correlation-based face recognition method for patient monitoring application in home video surveillance

Elbouz¹

2011

Opt. Eng

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Abstract. Home automation is being implemented into more and more domiciles of the elderly and disabled in order to maintain their independence and safety. For that purpose, we propose and validate a surveillance video system, which detects various posture-based events. One of the novel points of this system is to use adapted Vander-Lugt correlator (VLC) and joint-transfer correlator (JTC) techniques to make decisions on the identity of a patient and his three-dimensional (3-D) positions in order to overcome the problem of crowd environment. We propose a fuzzy logic technique to get decisions on the subject's behavior. Our system is focused on the goals of accuracy, convenience, and cost, which in addition does not require any devices attached to the subject. The system permits one to study and model subject responses to behavioral change intervention because several levels of alarm can be incorporated according different situations considered. Our algorithm performs a fast 3-D recovery of the subject's head position by locating eyes within the face image and involves a model-based prediction and optical correlation techniques to guide the tracking procedure. The object detection is based on (hue, saturation, value) color space. The system also involves an adapted fuzzy logic control algorithm to make a decision based on information given to the system. Furthermore, the principles described here are applicable to a very wide range of situations and robust enough to be implementable in ongoing experiments. C 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

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“…As a result of the aforementioned demographic ageing challenges, there is a growing demand to develop and deploy technical solutions within the home environment to address these challenges and offer the desired effect of supporting elderly people to remain in their home for as long as they can [2]. Smart homes are viewed as one possible type of solution to this problem.…”

Section: Introductionmentioning

confidence: 99%

Uncertain Information Management for ADL Monitoring in Smart Homes

Hong

Nugent

Liu

et al.

Studies in Computational Intelligence

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Summary. Smart Homes offer improved living conditions and levels of independence for the elderly population who require support with both physical and cognitive functions. Sensor technology development and communication networking have been well explored within the area of smart living environments to meet the demands for ageing in place. In contrast, information management still faces a challenge to be practically sound. In our current research we deploy the Dempster-Shafer theory of evidence to represent and reason with uncertain sensor data along with revision and merging techniques to resolve inconsistencies among information from different sources. We present a general framework for sensor information fusion and knowledge revision/merging especially for monitoring activities of daily living in a smart home.

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Editorial Home Automation as a Means of Independent Living

Cited by 74 publications

References 28 publications

The Intelligent Room for Elderly Care

The Intelligent Room for Elderly Care

Fuzzy logic and optical correlation-based face recognition method for patient monitoring application in home video surveillance

Uncertain Information Management for ADL Monitoring in Smart Homes

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