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Two-Stage Human Activity Recognition Using 2D-ConvNet
There is huge requirement of continuous intelligent monitoring system for human activity recognition in various domains like public places, automated teller machines or healthcare sector. Increasing demand of automatic ...
Recognizing Human Activities Userindependently on Smartphones Based on Accelerometer Data
Real-time human activity recognition on a mobile phone is presented in this article. Unlike in most other studies, not only the data were collected using the accelerometers of a smartphone, but also models were implemented ...
Minnesota's University Recognition
(CIMMYT, 2015)
Improved Behavior Monitoring and Classification Using Cues Parameters Extraction from Camera Array Images
Behavior monitoring and classification is a mechanism used to automatically identify or verify individual based on their human detection, tracking and behavior recognition from video sequences captured by a depth camera. ...
Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms
Machine recognition of the human activities is an active research area in computer vision. In previous study, either one or two types of modalities have been used to handle this task. However, the grouping of maximum ...
Evaluation of Pattern Recognition Algorithms for Applications on Power Factor Compensation
(2018-02-01)
This paper assesses different applied pattern recognition algorithms to decide the most appropriate power factor compensator for a particular point of common coupling. Power factor, current unbalance factor, total demand ...
Real-time Hand Gesture Detection and Recognition using Boosted Classifiers and Active Learning
(2012-12-17)
In this article a robust and real-time hand gesture detection and
recognition system for dynamic environments is proposed. The system is based
on the use of boosted classifiers for the detection of hands and the ...
Face recognition under pose variation with local Gabor features enhanced by Active Shape and Statistical Models
(Elsevier, 2015)
Face recognition is one of the most active areas of research in computer vision. Gabor features have been used widely in face identification because of their good results and robustness. However, the results of face ...
Human Activity Recognition in Real-Times Environments using Skeleton Joints
In this research work, we proposed a most effective
noble approach for Human activity recognition in real-time
environments. We recognize several distinct dynamic human
activity actions using kinect. A 3D skeleton data ...