DocumentCode
3582467
Title
Human activity recognition: A review
Author
Ong Chin Ann ; Lau Bee Theng
Author_Institution
Fac. of Eng., Swinburne Univ. of Technol., Kuching, Malaysia
fYear
2014
Firstpage
389
Lastpage
393
Abstract
Human Activity Recognition is one of the active research areas in computer vision for various contexts like security surveillance, healthcare and human computer interaction. In this paper, a total of thirty-two recent research papers on sensing technologies used in HAR are reviewed. The review covers three area of sensing technologies namely RGB cameras, depth sensors and wearable devices. It also discusses on the pros and cons of the mentioned sensing technologies. The findings showed that RGB cameras have lower popularity when compared to depth sensors and wearable devices in HAR research.
Keywords
cameras; computer vision; image motion analysis; HAR; HAR research; RGB cameras; computer vision; depth sensors; healthcare; human activity recognition; human computer interaction; security surveillance; sensing technologies; wearable devices; Cameras; Conferences; Context; Medical services; Monitoring; Wearable sensors; Human activity recognition; Kinect; RGB camera; depth sensor; sensing technology; wearable devices;
fLanguage
English
Publisher
ieee
Conference_Titel
Control System, Computing and Engineering (ICCSCE), 2014 IEEE International Conference on
Print_ISBN
978-1-4799-5685-2
Type
conf
DOI
10.1109/ICCSCE.2014.7072750
Filename
7072750
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