Human Activity Recognition Process Using 3-D Posture Data
Article Properties
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DOI (url)
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Publication Date2015/10/01
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Indian UGC (journal)
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Refrences38
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Citations5
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Salvatore Gaglio
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Giuseppe Lo Re
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Marco Morana
Cite
Gaglio, Salvatore, et al. “Human Activity Recognition Process Using 3-D Posture Data”. IEEE Transactions on Human-Machine Systems, vol. 45, no. 5, 2015, pp. 586-97, https://doi.org/10.1109/thms.2014.2377111.
Gaglio, S., Re, G. L., & Morana, M. (2015). Human Activity Recognition Process Using 3-D Posture Data. IEEE Transactions on Human-Machine Systems, 45(5), 586-597. https://doi.org/10.1109/thms.2014.2377111
Gaglio, Salvatore, Giuseppe Lo Re, and Marco Morana. “Human Activity Recognition Process Using 3-D Posture Data”. IEEE Transactions on Human-Machine Systems 45, no. 5 (2015): 586-97. https://doi.org/10.1109/thms.2014.2377111.
Gaglio S, Re GL, Morana M. Human Activity Recognition Process Using 3-D Posture Data. IEEE Transactions on Human-Machine Systems. 2015;45(5):586-97.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Activity recognition from user-annotated acceleration data | 2004 | |||
| Intelligent management systems for energy efficiency in buildings: A survey | ACM Computing Surveys |
| 0 | |
| An efficient dense and scale-invariant spatio-temporal interest point detector | 0 | |||
| Improving user experience via motion sensors in an ambient intelligence scenario | 0 | |||
| An intelligent system for energy efficiency in a complex of buildings | 0 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| A Combination Model of Shifting Joint Angle Changes With 3D-Deep Convolutional Neural Network to Recognize Human Activity | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| 2024 | |
HIT HAR: Human Image Threshing Machine for Human Activity Recognition Using Deep Learning Models | Computational Intelligence and Neuroscience |
| 14 | 2022 |
HuAc: Human Activity Recognition Using Crowdsourced WiFi Signals and Skeleton Data | Wireless Communications and Mobile Computing |
| 29 | 2018 |
Human Gait Indicators of Carrying a Concealed Firearm : A Skeletal Tracking and Data Mining Approach | International Journal of Scientific Research in Computer Science, Engineering and Information Technology | 2018 | ||
A Human Activity Recognition System Using Skeleton Data from RGBD Sensors | Computational Intelligence and Neuroscience |
| 96 | 2016 |
Citations Analysis
The category
Medicine: Medicine (General): Computer applications to medicine. Medical informatics 2
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A Human Activity Recognition System Using Skeleton Data from RGBD Sensors and was published in 2016. The most recent citation comes from a 2024 study titled A Combination Model of Shifting Joint Angle Changes With 3D-Deep Convolutional Neural Network to Recognize Human Activity. This article reached its peak citation in 2018, with 2 citations. It has been cited in 4 different journals, 25% of which are open access. Among related journals, the Computational Intelligence and Neuroscience cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.