| 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. |
- 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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| 3. |
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| 4. |
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| 5. |
- Tsiftes, Nicolas, et al.
(författare)
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The E-Care@Home Infrastructure for IoT-Enabled Healthcare
- 2016. - 8
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Ingår i: Internet of Things Technologies for HealthCare. - Cham : Springer. - 9783319512334 - 9783319512341 ; , s. 138-140
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Konferensbidrag (refereegranskat)abstract
- The E-Care@Home Project aims at providing a comprehensive IoT-based healthcare system, including state-of-the-art communication protocols and high-level analysis of data from various types of sensors. With this poster, we present its novel technical infrastructure, consisting of low-power IPv6 networking, sensors for health monitoring, and resource-efficient software, that is used to gather data from elderly patients and their surrounding environment.
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