Data-driven generation of rule-based behavior models for an Ambient assisted living system

Rodner, Thorsten; Litz, Lothar

doi:10.1109/icce-berlin.2013.6698038

Cited by 17 publications

(12 citation statements)

References 9 publications

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“…Heterogeneity of environments has been highlighted by many researchers as a significant challenge that cannot be overcome by system configuration (Palumbo et al 2014;Reeder et al 2013). It is indeed difficult to select appropriate intelligent-assistive technologies suitable for a given building environment (Rodner and Litz 2013). Stefanov et al (2004) chose to solve the problem by presenting a matrix that relates types of smart houses and the devices that may be installed in each one of them.…”

Section: Necessary Evaluation Of the Building Environmentmentioning

confidence: 99%

Smart home technologies that support independent living: challenges and opportunities for the building industry – a systematic mapping study

Labonnote

Høyland

2015

Intelligent Buildings International

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Objective: To provide an overview of the state of research concerning smart technologies that support independent living in buildings, as well as a deeper literature review of the specific challenges for the building industry. Methods: A systematic mapping methodology was applied in this study to provide basis knowledge on the state of the art. The initial search on three databases gave 3485 articles. Of these, 610 articles were finally selected as relevant to the study after removing the duplicates and screening by applying inclusion and exclusion criteria based on titles and abstracts. Keywording was performed in order to answer the research questions of the study. Results: Results from the systematic mapping technology allow the detection of almost mature technologies, as well as promising technologies and research gaps. Results from the deeper literature review have identified challenges and new trends specific to the building industry. Conclusions: Efforts are still needed for the building industry in order to contribute significantly to meeting societal needs. Further research: Research fields that would benefit from further research are highlighted.

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Section: Necessary Evaluation Of the Building Environmentmentioning

confidence: 99%

Smart home technologies that support independent living: challenges and opportunities for the building industry – a systematic mapping study

Labonnote

Høyland

2015

Intelligent Buildings International

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“…A smart home or eHome [14] commonly has sophisticated electronic systems that automatically control particular everyday tasks. These smart homes help older people to maintain an independent life within their own homes, as they provide platforms upon which systems function and provide general health monitoring opportunities [15].…”

Section: Smart Homesmentioning

confidence: 99%

A Review and Classification of Assisted Living Systems

2018

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Europe's social agenda for the "active elderly" is based upon a series of programs that provide a flexible infrastructure for their lives so that they are motivated, engaged in lifelong learning, and contributing to society. Economically speaking, Europe must engage in active aging research in order to avoid unsustainable health costs, and ambient assisted living (AAL) systems provide a platform for the elderly to remain living independently. This paper reviews research conducted within the area of AAL, and offers a taxonomy within which such systems may be classified. This classification distinguishes itself from others in that it categorises AAL systems in a top-down fashion, with the most important categories placed immediately to the left. In this paper, each section is explored further, and AAL systems are the focus. Entire AAL systems still cannot be fully evaluated, but their constituent technical parts can be assessed. The activities of daily living (ADLs) component was given further priority due to its potential for system evaluation, based on its ability to recognise ADLs with reasonable accuracy.Information 2018, 9, 182 2 of 24 ensure that future system features include the minimum requirements necessary for AAL research and commercial usage, thus ensuring that the elderly and their families have systems capable of meeting their current and future ADL needs. Previous reviews have taken different approaches, yet all failed to provide a framework within which all AAL systems could be classified according to their primary function [5,6]. Some applied specific guidelines to predominantly single-use systems, compared platform performance, or personalised healthcare systems. The evolution of AAL technology [7] has taken us through three generations, from wearable devices that respond to an emergency, to automatic response home sensors, to a third generation combining less-intrusive monitoring with preventive functionalities. Another review approach of surveying ambient environment services [8] under event-, context-, or device-aware services was categorised in terms of a service-oriented, user-centered, and event-aware monitoring service. This review technique compared various ambient services of response time, success rate, low/high-level failures, power consumption, and service reliability/adaption, yet offered no classification. A comprehensive literature review [9] on platforms and systems [10] provided no taxonomy for researchers, and excluded ambient intelligence (AmI) research that is pivotal within robotics and wearable computing. A recent review paper [11] described AAL as the culmination of the following five technologies: sensors, context awareness, machine learning, and artificial intelligence, announcing the importance of device interoperability, yet offering no template for achieving this goal. AALIANCE [12] proffered a roadmap for AAL system standardisation and a possible future evolutionary structure for systems, yet this aspirational template lacks the necessary structure to accommodate curr...

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“…The next paragraphs present some unsupervised approaches found in recent literature. Rodner and Litz (2013) use association rules: the recorded events are preprocessed to generate transactions of items. This preprocessing uses data extraction, aggregation and transformation in order to enrich the raw events with geographic data; the numeric data and dates are discretized, etc.…”

Section: Related Workmentioning

confidence: 99%

Unsupervised discovery of activities of daily living characterized by their periodicity and variability

Soulas

Lenca

Thépaut

2015

Engineering Applications of Artificial Intelligence

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Data-driven generation of rule-based behavior models for an Ambient assisted living system

Cited by 17 publications

References 9 publications

Smart home technologies that support independent living: challenges and opportunities for the building industry – a systematic mapping study

Smart home technologies that support independent living: challenges and opportunities for the building industry – a systematic mapping study

A Review and Classification of Assisted Living Systems

Unsupervised discovery of activities of daily living characterized by their periodicity and variability

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