Facial age classification based on weighted decision fusion
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Year
: 2014DOI: 10.1109/EMBC.2014.6944285
Keyword(s): biomedical optical imaging,brain,cameras,diseases,gait analysis,medical disorders,patient treatment,Microsoft Kinect system,Parkinson disease assessment,deep brain stimulation,gait analysis,hospital environment,human motion analysis techniques,innovative RGB-D camera system,movement-related diseases,severe motor impairment,skeleton data extraction,Cameras,Elbow,Joints,Legged locomotion,Parkinson',s disease,Sensors
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Facial age classification based on weighted decision fusion
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| date accessioned | 2020-03-12T23:29:35Z | |
| date available | 2020-03-12T23:29:35Z | |
| date issued | 2014 | |
| identifier other | 6895765.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1113642?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Facial age classification based on weighted decision fusion | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8282770 | |
| subject keywords | biomedical optical imaging | |
| subject keywords | brain | |
| subject keywords | cameras | |
| subject keywords | diseases | |
| subject keywords | gait analysis | |
| subject keywords | medical disorders | |
| subject keywords | patient treatment | |
| subject keywords | Microsoft Kinect system | |
| subject keywords | Parkinson disease assessment | |
| subject keywords | deep brain stimulation | |
| subject keywords | gait analysis | |
| subject keywords | hospital environment | |
| subject keywords | human motion analysis techniques | |
| subject keywords | innovative RGB-D camera system | |
| subject keywords | movement-related diseases | |
| subject keywords | severe motor impairment | |
| subject keywords | skeleton data extraction | |
| subject keywords | Cameras | |
| subject keywords | Elbow | |
| subject keywords | Joints | |
| subject keywords | Legged locomotion | |
| subject keywords | Parkinson' | |
| subject keywords | s disease | |
| subject keywords | Sensors | |
| identifier doi | 10.1109/EMBC.2014.6944285 | |
| journal title | ontrol Conference (CCC), 2014 33rd Chinese | |
| filesize | 430064 | |
| citations | 0 | |
| contributor rawauthor | Li Weixing , Su Haijun , Pan Feng , Gao Qi , Guo Shaoyan |