000 01424ntm a2200349 i 4500
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005 20251117113408.0
008 190410t20182018my a f m 000 0 eng d
020 _aTHE0005213(Local)
039 9 _a201905141453
_bhanafiah
_y201904101525
_znazri
040 _aUMP
_beng
_cUMP
_erda
090 _aFKEE .Z33 2018 r Thesis
100 0 _aMuhammad Zabri Abu Bakar,
_eauthor.
245 1 0 _aDevelopment of a computer vision-based technique for analysis of hand therapy exercise /
_cMuhammad Zabri Abu Bakar
264 1 _aKuantan, Pahang :
_bUMP,
_c2018
264 4 _c© 2018
300 _axiii, 104 pages :
_billustrations (some color) ;
_c30 cm. +
_e1 CD-ROM
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
337 _acomputer
_2rdamedia
338 _avolume
_2rdacarrier
338 _acomputer disc
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aFaculty of Electrical and Electronics Engineering
502 _aThesis (Master of Engineering (Electrical)) -- Universiti Malaysia Pahang – 2018
504 _aIncludes bibliographical references
610 2 0 _aFaculty of Electrical and Electronics Engineering
_xDissertations
650 0 _aUniversities and colleges
_xDisertations
650 0 _aTheses
999 _aVIRTUA40
_c7935
_d7941
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2640*2641*3000*3360*3370*3371*3380*3381*3470*5000*5020*5040*6100*6500*6501*9992