| 1. |
- Ahmed, Mobyen Uddin, 1976-, et al.
(författare)
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Run-Time Assurance for the E-care@home System
- 2018
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Ingår i: Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 225). - Cham : Springer International Publishing. - 9783319762128 - 9783319762135 ; , s. 107-110
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Konferensbidrag (refereegranskat)abstract
- This paper presents the design and implementation of the software for a run-time assurance infrastructure in the E-care@home system. An experimental evaluation is conducted to verify that the run-time assurance infrastructure is functioning correctly, and to enable detecting performance degradation in experimental IoT network deployments within the context of E-care@home. © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
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| 2. |
- Koshmak, Gregory, 1988-, et al.
(författare)
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Challenges and Issues in Multi-Sensor FusionApproach for Fall Detection : Review Paper
- 2016
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Ingår i: Journal of Sensors. - : Hindawi Limited. - 1687-725X .- 1687-7268.
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Tidskriftsartikel (refereegranskat)abstract
- Emergency situations associated with falls are a serious concern for an aging society. Yet following the recent development within ICT, a significant number of solutions have been proposed to track body movement and detect falls using various sensor technologies, thereby facilitating fall detection and in some cases prevention. A number of recent reviews on fall detection methods using ICT technologies have emerged in the literature and an increasingly popular approach considers combining information from several sensor sources to assess falls. The aim of this paper is to review in detail the subfield of fall detection techniques that explicitly considers the use of multisensor fusion based methods to assess and determine falls. The paper highlights key differences between the single sensor-based approach and a multifusion one. The paper also describes and categorizes the various systems used, provides information on the challenges of a multifusion approach, and finally discusses trends for future work.
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| 3. |
- Koshmak, Gregory, et al.
(författare)
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Dynamic Bayesian Networks for Context-Aware Fall Risk Assessment
- 2014
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Ingår i: Sensors. - Basel : MDPI AG. - 1424-8220. ; 14:5, s. 9330-9348
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Tidskriftsartikel (refereegranskat)abstract
- Fall incidents among the elderly often occur in the home and can cause serious injuries affecting their independent living. This paper presents an approach where data from wearable sensors integrated in a smart home environment is combined using a dynamic Bayesian network. The smart home environment provides contextual data, obtained from environmental sensors, and contributes to assessing a fall risk probability. The evaluation of the developed system is performed through simulation. Each time step is represented by a single user activity and interacts with a fall sensors located on a mobile device. A posterior probability is calculated for each recognized activity or contextual information. The output of the system provides a total risk assessment of falling given a response from the fall sensor.
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| 4. |
- Kristoffersson, Annica, 1980-, et al.
(författare)
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Understanding users of a future E-care@home system : E-care@home project
- 2017
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- This technical report contains personas based on the authors’ earlier and ongoing research together with literature studies. The original aim of the work presented in this report was to provide the E-care@home research environment with an understanding of who the user of a hypothetical future E-care@home system is. The resulting personas are to be used as a tool to aid other work packages within the E-care@home research environment in their design processes. The project focuses on technological solutions and uses artificial intelligence for creating a semantic interoperability between sensor data, systems and humans. The release of this report is, however, a result of several requests of data and user specifications coming from both researchers and companies, who want to base their work on realistic situations of elderly people.Several interviews have been performed with potential end users: with healthcare providers within geriatrics care at a hospital, within home care services, and with more-or-less-healthy elderly people, focusing on frail elderly people who may be in risk of falling, developing malnutrition and/or pressure ulcers, and also their closest relatives and their caregivers.In this report, 15 personas are presented. There are five different elderly personas. Two of them live together with their spouses, one of which is presented as a persona. In addition, the report presents the personas of eight healthcare professionals, all of which are involved in Senior Alert risk assessments and prevention of falls, malnutrition and pressure ulcers. Three personas represent different professions working in the home care services, the other five personas work at a geriatrics hospital ward. Finally, one informal caregiver of an elderly, a daughter, is presented as a persona. These hypothetical and archetypical users shed light on a variety of different users that may interact with an E-care@home system, or other IoT technologies in the future.It should be acknowledged that the work presented in this technical report has been extracted from one of E-care@home scientific deliverables, MSR5.1b. The original deliverable, that was authored by Mälardalen University, SICS East and Örebro University, features also personas representing elderly multi-morbid users with specialized home healthcare and a number of use cases that pose challenging scenarios that highlight a range of possible interactions with the E-care@home system.
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| 5. |
- Köckemann, Uwe, 1983-, et al.
(författare)
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Open-source data collection and data sets for activity recognition in smart homes
- 2020
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Ingår i: Sensors. - : MDPI AG. - 1424-8220. ; 20:3
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Tidskriftsartikel (refereegranskat)abstract
- As research in smart homes and activity recognition is increasing, it is of ever increasing importance to have benchmarks systems and data upon which researchers can compare methods. While synthetic data can be useful for certain method developments, real data sets that are open and shared are equally as important. This paper presents the E-care@home system, its installation in a real home setting, and a series of data sets that were collected using the E-care@home system. Our first contribution, the E-care@home system, is a collection of software modules for data collection, labeling, and various reasoning tasks such as activity recognition, person counting, and configuration planning. It supports a heterogeneous set of sensors that can be extended easily and connects collected sensor data to higher-level Artificial Intelligence (AI) reasoning modules. Our second contribution is a series of open data sets which can be used to recognize activities of daily living. In addition to these data sets, we describe the technical infrastructure that we have developed to collect the data and the physical environment. Each data set is annotated with ground-truth information, making it relevant for researchers interested in benchmarking different algorithms for activity recognition.
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| 6. |
- Loutfi, Amy, 1978-, et al.
(författare)
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Ecare@home : A distributed research environment on semantic interoperability
- 2016
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Ingår i: Lect. Notes Inst. Comput. Sci. Soc. Informatics Telecommun. Eng.. - Cham : Springer International Publishing. - 9783319512334 - 9783319512341 ; , s. 3-8
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Konferensbidrag (refereegranskat)abstract
- This paper presents the motivation and challenges to developing semantic interoperability for an internet of things network that is used in the context of home based care. The paper describes a research environment which examines these challenges and illustrates the motivation through a scenario whereby a network of devices in the home is used to provide high-level information about elderly patients by leveraging from techniques in context awareness, automated reasoning, and configuration planning.
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| 7. |
- Santini, Marina, et al.
(författare)
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Designing an Extensible Domain-Specific Web Corpus for “Layfication” : A Case Study in eCare at Home
- 2019
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Ingår i: Cyber-Physical Systems for Social Applications. - Hershey, PA, USA : IGI Global. - 9781522593454 - 9781522578802 ; , s. 98-155
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Bokkapitel (refereegranskat)abstract
- In the era of data-driven science, corpus-based language technology is an essential part of cyber physical systems. In this chapter, the authors describe the design and the development of an extensible domain-specific web corpus to be used in a distributed social application for the care of the elderly at home. The domain of interest is the medical field of chronic diseases. The corpus is conceived as a flexible and extensible textual resource, where additional documents and additional languages will be appended over time. The main purpose of the corpus is to be used for building and training language technology applications for the “layfication” of the specialized medical jargon. “Layfication” refers to the automatic identification of more intuitive linguistic expressions that can help laypeople (e.g., patients, family caregivers, and home care aides) understand medical terms, which often appear opaque. Exploratory experiments are presented and discussed.
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