Planning meets activity recognition: Service coordination for intelligent buildings

Georgievski, Ilche; Nguyen, Tuan Anh; Nizamic, Faris; Setz, Brian; Lazovik, Alexander; Aiello, Marco

doi:10.1016/j.pmcj.2017.02.008

Cited by 31 publications

(15 citation statements)

References 35 publications

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“…The automated recognition of human activity using various types of sensors is an interesting research area that can have multiple practical applications [ 1 ], e.g., in healthcare [ 2 ], surveillance [ 3 ], entertainment [ 4 ], security [ 5 ], building management [ 6 ], and others. Daily or unexpected activities, such as walking, sitting, running, cycling, standing, falling, fighting, crowd assembling, etc., can be detected using non pervasive sensors that are either remotely positioned, e.g., a camera, or carried by humans, e.g., smart phones, smart watches, smart wristbands [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning

Althobaiti

Katsigiannis

Ramzan

2020

Sensors

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The detection of activities of daily living (ADL) and the detection of falls is of utmost importance for addressing the issue of serious injuries and death as a consequence of elderly people falling. Wearable sensors can provide a viable solution for monitoring people in danger of falls with minimal external involvement from health or care home workers. In this work, we recorded accelerometer data from 35 healthy individuals performing various ADLs, as well as falls. Spatial and frequency domain features were extracted and used for the training of machine learning models with the aim of distinguishing between fall and no fall events, as well as between falls and other ADLs. Supervised classification experiments demonstrated the efficiency of the proposed approach, achieving an F1-score of 98.41% for distinguishing between fall and no fall events, and an F1-score of 88.11% for distinguishing between various ADLs, including falls. Furthermore, the created dataset, named “ShimFall&ADL” will be publicly released to facilitate further research on the field.

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Section: Introductionmentioning

confidence: 99%

Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning

Althobaiti

Katsigiannis

Ramzan

2020

Sensors

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“…The most dominant IB found in the intelligent building literature is concerned with either “ energy efficiency behavior ” [ 104 , 105 , 106 , 107 , 108 , 109 , 110 , 111 , 112 ] or “energy saving behavior ” [ 100 , 102 , 103 , 105 , 106 , 112 , 113 , 114 , 115 , 116 , 117 , 118 , 119 , 120 ]. Ding et al [ 100 ], for example, identify research trends in building energy saving using a text mining methodology.…”

Section: Resultsmentioning

confidence: 99%

Characterizing Smart Environments as Interactive and Collective Platforms: A Review of the Key Behaviors of Responsive Architecture

Lee

Ostwald

Kim

2021

Sensors

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Since architect Nicholas Negroponte first proposed a vision of responsive architecture smart environments have been widely investigated, especially in the fields of computer science and engineering. Despite growing interest in the topic, a comprehensive review of research about smart environments from the architectural perspective is largely missing. In order to provide a formal understanding of smart environments in architecture, this paper conducts a systematic literature review of scholarly sources over the last decade, focusing on four related subjects: (1) responsive architecture, (2) kinetic architecture, (3) adaptive architecture and (4) intelligent buildings. Through this review, the paper identifies and examines interactive and collective behaviors in smart environments, thereby contributing to defining the properties of creative, smart spaces in the contemporary digital ecosystem. In addition, this research offers a means of systematically characterizing and constructing smart environments as interactive and collective platforms, enabling occupants to sense, experience and understand smart spaces.

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“…Applying efficient solutions like building and subsystems control and efficient lighting, promotes solutions which make use of artificial intelligence with smart meters and monitoring facilitated with automated technologies. Hence the grid, the building and its occupants make use of data analysis, sharing the necessary information, facilitating real-time coordination and promoting balance between construction, people, and nature (Georgievski et al, 2017).…”

Section: Enerstock2018mentioning

confidence: 99%

European legislation and incentives programmes for demand Side management

et al. 2020

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Energy is now intrinsically linked to technological development, given it powers all such systems. The use of fossil fuels to supply the required energy is causing global environmental and health issues and is impacting on all life forms on the planet. Given increasing energy consumption, anthropogenic greenhouse gas emissions are consequentially increasing. Therefore, it is necessary to replace fossil fuels with renewable energies, biofuels and eco materials and related technologies and to try and find a way to develop sustainable zero emission solutions for all areas including constructions, transport and water resources.A critical and evolutionary way of thinking about the energy (and other resource) demand, management and supply is necessary because there is a clear concern about irreversible impacts to the world and a scarcity of the resources as well. Energy supplies should be mostly or entirely through renewable resources and highly efficient technologies put in place to achieve solution such as nearly Zero Energy Buildings (nZEB).At the same time, all the energy and resource use processes should be optimised in order to maximise the benefits, reduce the costs and promote stakeholders (consumers, companies or governments) network, toward a circular economy. This could be the way to supply the demand without increasing the scarcity of the resources and to simultaneously achieve environmental benefits. Therefore, it should be possible to improve productivity with the same amount of resources, by e.g. maximising the potential of smart grids and heuristically develop solutions with stakeholders.The concept of Demand Side Management (DSM) emerged after the energy crisis and it employs solutions such as reducing the daily peak load. At the same time, creating an educational grid is important to change the established paradigms, in order to promote critical thinking about the wasted resources and thinking holistically about overall consumption. This paradigm shift is changing the market, making it more competitive and reducing inefficiency by promoting the efficient use of resources including deployment of energy storage during the periods of low consumption in daily peak shift.All these issues present a new way of thinking in the path towards sustainability, maximising the circular economy and reducing environmental impacts, making connections and using the Internet of Things to provide more information to all stakeholders. All these changes in social behaviour are related to the rational use of resources and make it easier to improve the existing infrastructures instead of building new ones. This paper analyses the state of the art at the European level in the production and use of renewable resources. A survey and analysis of the incentives to consumers and the policies to encourage the circular economy, and a parallel analysis of benefits and drawbacks, was made. It is intended to identify the main forms of intervention and improvement, culminating in a reflection on how they should be applied in order to imp...

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Planning meets activity recognition: Service coordination for intelligent buildings

Cited by 31 publications

References 35 publications

Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning

Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning

Characterizing Smart Environments as Interactive and Collective Platforms: A Review of the Key Behaviors of Responsive Architecture

European legislation and incentives programmes for demand Side management

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