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Open-source data co...
Open-source data collection and data sets for activity recognition in smart homes
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- Köckemann, Uwe, 1983- (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik,Centre for Applied Autonomous Sensor Systems (AASS),Örebro University, Örebro, 70182, Sweden
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- Alirezaie, Marjan, 1980- (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik,Centre for Applied Autonomous Sensor Systems (AASS),Örebro University, Örebro, 70182, Sweden
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- Renoux, Jennifer, 1989- (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik,Centre for Applied Autonomous Sensor Systems (AASS),Örebro University, Örebro, 70182, Sweden
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- Tsiftes, Nicolas (författare)
- RISE,Datavetenskap,Connected Intelligence,RISE SICS, RISE Research Institutes of Sweden, Stockholm, Sweden
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- Ahmed, Mobyen Uddin, Dr, 1976- (författare)
- Mälardalens högskola,Inbyggda system,School of Innovation Design and Engineering (IDT), Mälardalen University, Västerås, Sweden
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- Morberg, Daniel (författare)
- Mälardalens högskola,School of Innovation Design and Engineering (IDT), Mälardalen University, Västerås, Sweden
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- Lindén, Maria, 1965- (författare)
- Mälardalens högskola,Inbyggda system,School of Innovation Design and Engineering (IDT), Mälardalen University, Västerås, Sweden
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- Loutfi, Amy, 1978- (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik,Centre for Applied Autonomous Sensor Systems (AASS),Örebro University, Örebro, 70182, Sweden
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(creator_code:org_t)
- 2020-02-06
- 2020
- Engelska.
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Ingår i: Sensors. - : MDPI AG. - 1424-8220. ; 20:3
- Relaterad länk:
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https://doi.org/10.3...
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https://www.mdpi.com...
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https://oru.diva-por... (primary) (Raw object)
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https://ri.diva-port... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.3...
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https://urn.kb.se/re...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Data collection software
- Prototype installation
- Smart home data sets
- Automation
- Data acquisition
- Intelligent buildings
- Open source software
- Pattern recognition
- Software prototyping
- Activities of Daily Living
- Activity recognition
- Configuration planning
- Method development
- Physical environments
- Smart homes
- Technical infrastructure
- Open Data
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Sensors
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- Av författaren/redakt...
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Köckemann, Uwe, ...
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Alirezaie, Marja ...
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Renoux, Jennifer ...
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Tsiftes, Nicolas
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Ahmed, Mobyen Ud ...
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Morberg, Daniel
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Lindén, Maria, 1 ...
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Loutfi, Amy, 197 ...
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- Om ämnet
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- NATURVETENSKAP
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NATURVETENSKAP
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och Data och informa ...
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- NATURVETENSKAP
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NATURVETENSKAP
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och Data och informa ...
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och Datavetenskap
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Sensors
- Av lärosätet
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Mälardalens universitet
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Örebro universitet
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RISE