2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) 2016
DOI: 10.1109/mfi.2016.7849473
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Evaluation of motion tracking methods for therapeutic assistance in everyday living environments

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Cited by 6 publications
(2 citation statements)
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“…This is described in [10][11][12][13], and subtracting motion detection technology is the basis, mainly.…”
Section: Methodsmentioning
confidence: 99%
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“…This is described in [10][11][12][13], and subtracting motion detection technology is the basis, mainly.…”
Section: Methodsmentioning
confidence: 99%
“…We will v2 sensor allows the exercise compatibility analysis for the treatment of conditions, we can conclude that. [11] Microsoft, for example, can grow as low-cost depth sensors,have potential for non-contact health monitoring that is strong to ambient lighting situations. However, the depth of the captured images often suffer from a high noise and, therefore, to develop a difficult biometric to evaluate them.…”
Section: Review Of Literaturementioning
confidence: 99%