Dempster–Shafer theory-based human activity recognition in smart home environments
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2013/11/13
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Journal
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Indian UGC (journal)
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Refrences52
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Citations11
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Faouzi Sebbak
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Farid Benhammadi
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Abdelghani Chibani
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Yacine Amirat
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Aicha Mokhtari
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Telecommunication
Technology
Technology (General)
Industrial engineering
Management engineering
Information technology
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Cross-domain activity recognition via transfer learning | Pervasive and Mobile Computing |
| 34 | 2011 |
| A Smoothed Naive Bayes-Based Classifier for Activity Recognition | IETE Technical Review |
| 15 | 2010 |
| Context reasoning using extended evidence theory in pervasive computing environments | Future Generation Computer Systems |
| 18 | 2010 |
| 10.1109/TITB.2009.2034369 | 2010 | |||
| 10.1504/IJMC.2009.023675 | International Journal of Molecular and Cellular Biology | 2009 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Applying a fusion of wearable sensors and a cognitive inspired architecture to real-time ergonomics analysis of manual assembly tasks | Journal of Manufacturing Systems |
| 13 | 2021 |
| DCR: A new distributed model for human activity recognition in smart homes | Expert Systems with Applications |
| 11 | 2020 |
| An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure | Information Fusion |
| 67 | 2020 |
Multi-sensor fusion based on multiple classifier systems for human activity identification | Human-centric Computing and Information Sciences |
| 31 | 2019 |
A Review of the Recent Developments in Integrating Machine Learning Models with Sensor Devices in the Smart Buildings Sector with a View to Attaining Enhanced Sensing, Energy Efficiency, and Optimal Building Management | Energies |
| 19 | 2019 |
Citations Analysis
The category
Technology: Engineering (General). Civil engineering (General) 6
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Majority-consensus fusion approach for elderly IoT-based healthcare applications and was published in 2016. The most recent citation comes from a 2021 study titled Applying a fusion of wearable sensors and a cognitive inspired architecture to real-time ergonomics analysis of manual assembly tasks. This article reached its peak citation in 2018, with 3 citations. It has been cited in 10 different journals, 10% of which are open access. Among related journals, the Journal of Manufacturing Systems cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.