Show simple item record

Experimental evaluation of Microsoft Kinect's accuracy and capture rate for stroke rehabilitation applications

contributor authorWebster, D. , Celik, O.
date accessioned2020-03-12T19:34:27Z
date available2020-03-12T19:34:27Z
date issued2014
identifier other6775498.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/982289?show=full
formatgeneral
languageEnglish
publisherIEEE
titleExperimental evaluation of Microsoft Kinect's accuracy and capture rate for stroke rehabilitation applications
typeConference Paper
contenttypeMetadata Only
identifier padid8097186
subject keywordsMonte Carlo methods
subject keywordsatmospheric electromagnetic wave propagation
subject keywordsatmospheric humidity
subject keywordsatmospheric pressure
subject keywordssunlight
subject keywordswireless sensor networks
subject keywords2D radiative transport theory
subject keywordsMonte Carlo simulation
subject keywordsatmospheric humidity
subject keywordsatmospheric pressure
subject keywordsbiophysical parameters
subject keywordsoutdoor environments
subject keywordspropagation loss prediction
subject keywordsreceivers
subject keywordssolar radiation
subject keywordstransmitters
subject keywordstrunk dominated forest
subject keywordswireless sensor networks
subject keywordsMathematical model
subject keywordsPeer-to-peer computing
subject keywordsPropagation losses
subject keywordsReceivers
subject keywordsSlabs
subject keywordsTrans
identifier doi10.1109/URSIGASS.2014.6929654
journal titleaptics Symposium (HAPTICS), 2014 IEEE
filesize214108
citations0


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record