Vessel tracking vision system using a combination of Kaiman filter, Bayesian classification, and adaptive tracking algorithm
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: 2014DOI: 10.1109/GIIS.2014.6934279
Keyword(s): biomechanics,biomedical measurement,body sensor networks,bone,cameras,electromyography,medical robotics,patient care,patient monitoring,patient rehabilitation,physiological models,torque,user interfaces,dedicated wireless on-body sensors,direct measurement,external forces,hardware,health monitoring,healthcare cost reduction,in-body data,industrial cost reduction,interfaces,joint torques,medical robotics,muscle activation,muscle forces,musculoskeletal data,musculoskelet
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Vessel tracking vision system using a combination of Kaiman filter, Bayesian classification, and adaptive tracking algorithm
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| contributor author | Yun Jip Kim , Yun Koo Chung , Byung Gil Lee | |
| date accessioned | 2020-03-12T19:35:57Z | |
| date available | 2020-03-12T19:35:57Z | |
| date issued | 2014 | |
| identifier other | 6778948.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/983168 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Vessel tracking vision system using a combination of Kaiman filter, Bayesian classification, and adaptive tracking algorithm | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8098443 | |
| subject keywords | biomechanics | |
| subject keywords | biomedical measurement | |
| subject keywords | body sensor networks | |
| subject keywords | bone | |
| subject keywords | cameras | |
| subject keywords | electromyography | |
| subject keywords | medical robotics | |
| subject keywords | patient care | |
| subject keywords | patient monitoring | |
| subject keywords | patient rehabilitation | |
| subject keywords | physiological models | |
| subject keywords | torque | |
| subject keywords | user interfaces | |
| subject keywords | dedicated wireless on-body sensors | |
| subject keywords | direct measurement | |
| subject keywords | external forces | |
| subject keywords | hardware | |
| subject keywords | health monitoring | |
| subject keywords | healthcare cost reduction | |
| subject keywords | in-body data | |
| subject keywords | industrial cost reduction | |
| subject keywords | interfaces | |
| subject keywords | joint torques | |
| subject keywords | medical robotics | |
| subject keywords | muscle activation | |
| subject keywords | muscle forces | |
| subject keywords | musculoskeletal data | |
| subject keywords | musculoskelet | |
| identifier doi | 10.1109/GIIS.2014.6934279 | |
| journal title | dvanced Communication Technology (ICACT), 2014 16th International Conference on | |
| filesize | 3256992 | |
| citations | 0 |