Plans and Planning in Smart Homes

Simpson, Richard; Schreckenghost, Debra; LoPresti, Edmund F.; Kirsch, Ned L.

doi:10.1007/11788485_5

Cited by 21 publications

(11 citation statements)

References 29 publications

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“…Also, the availability of resources might change due to user mobility or other factors. Therefore, more advanced planning techniques have been proposed by extending classical planning techniques [105]. One example is the distributed hierarchal task network (D-HTN) technique [106] which extends the hierarchal task network (HTN).…”

Section: Algorithms and Methodsmentioning

confidence: 99%

A Survey on Ambient Intelligence in Healthcare

et al. 2013

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Ambient Intelligence (AmI) is a new paradigm in information technology aimed at empowering people’s capabilities by the means of digital environments that are sensitive, adaptive, and responsive to human needs, habits, gestures, and emotions. This futuristic vision of daily environment will enable innovative human-machine interactions characterized by pervasive, unobtrusive and anticipatory communications. Such innovative interaction paradigms make ambient intelligence technology a suitable candidate for developing various real life solutions, including in the health care domain. This survey will discuss the emergence of ambient intelligence (AmI) techniques in the health care domain, in order to provide the research community with the necessary background. We will examine the infrastructure and technology required for achieving the vision of ambient intelligence, such as smart environments and wearable medical devices. We will summarize of the state of the art artificial intelligence methodologies used for developing AmI system in the health care domain, including various learning techniques (for learning from user interaction), reasoning techniques (for reasoning about users’ goals and intensions) and planning techniques (for planning activities and interactions). We will also discuss how AmI technology might support people affected by various physical or mental disabilities or chronic disease. Finally, we will point to some of the successful case studies in the area and we will look at the current and future challenges to draw upon the possible future research paths.

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Section: Algorithms and Methodsmentioning

confidence: 99%

A Survey on Ambient Intelligence in Healthcare

et al. 2013

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“…The set of required rules to manage complex situation is very di cult to de ne. Hence Ac-tion Planning focuses on the determination of the best path of actions according to current system state such as presented in Simpson et al [15]. Decision Tree (DT) is a sub-model to consider the possibility of deviations from the expected result to the nal environment state because of hidden variables.…”

Section: Ambient Intelligencementioning

confidence: 99%

Untitled

2015

IJASA

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ABSTRACT. The developpment of the Internet of Things (IoT) concept revives Responsive Environments (RE) technologies. Nowadays, the idea of a permanent connection between physical and digital world is technologically possible. The capillar Internet relates to the Internet extension into daily appliances such as they become actors of Internet like any hu-man. The parallel development of Machine-to-Machine communications and Arti cial Intelligence (AI) technics start a new area of cybernetic. This paper presents an approach for Cybernetic Organism (Cyborg) for RE based on Organic Computing (OC). In such approach, each appli-ance is a part of an autonomic system in order to control a physical environment.The underlying idea is that such systems must have self-x properties in order to adapt their behavior to external disturbances with a high-degree of autonomy.

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“…Many research groups have focused on one of the most important issue in telemedicine, that of the integrity and security of transmitted data. Simpson et al (2006) posed several challenging issues regarding continuous home monitoring: who should receive information as the patient, family members, caregivers and medical professionals all have interest; what information should each person receive without violating any data privacy and security concerns; how should information be presented since each party may prefer different mode of communication such as telephone, computer, etc. Proposed solutions to the security issue include cryptography (Mantas et al 2009) and context-aware access control rules (Guennoun and El-Khatib 2009).…”

Section: Challenges and Issuesmentioning

confidence: 99%

Smart home technology for telemedicine and emergency management

2012

J Ambient Intell Human Comput

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With the ageing population, mobility is an important issue and it deters the elderlies to visit health clinics on a regular basis. Individuals with disabilities also face the same obstacles for their out-of-home medical visits. In addition, people living in remote areas often do not get the needed health care attention unless they are willing to spend the time, effort and cost to travel. Advances in information and telecommunication technologies have made telemedicine possible. Using the latest sensor technologies, a person's vital data can be collected in a smart home environment. The bio-information can then be transferred wirelessly or via the Internet to medical databases and the healthcare professionals. Using the appropriate sensing apparatus at a smart home setting, patients, elderlies and people with disabilities can have their health signals and information examined on a realtime and archival basis. Recovery process can be charted on a regular basis. Remote emergency alerts can be intercepted and responded quickly. Health deterioration can be monitored closely enabling corrective actions. Medical practitioners can therefore provide the necessary healthrelated services to more people. This paper surveys and compiles the state-of-the-art smart home technologies and telemedicine systems.

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Plans and Planning in Smart Homes

Cited by 21 publications

References 29 publications

A Survey on Ambient Intelligence in Healthcare

A Survey on Ambient Intelligence in Healthcare

Untitled

Smart home technology for telemedicine and emergency management

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