Winitra Nuallaong, Thanya Nuallaong, Nongluck Preechadirek
Academic Achievement from Using the Learning Medium Via a Tablet Device Based on Multiple Intelligences in Grade 1 Elementary Student
Journal of the Medical Association of Thailand = Chotmaihet thangphaet
sign language sl continuous complex stream multiple body movement features raises challenging issue providing efficient computational models description analysis movements present paper used principal component analysis pca decompose sl motion elementary movements called principal movements pms pca applied upperbody motion capture data six different signers freely producing discourses french sign language common pms extracted whole dataset containing signers individual pms extracted separately data individual signers study provides three main findings 1 although data synchronized time across signers discourses first eight common pms contained 946 variance movements 2 number pms represented 946 variance nearly individual common pms 3 pm subspaces highly similar across signers results suggest upperbody motion unconstrained continuous sl discourses described dynamic combination reduced number elementary movements opens promising perspectives toward providing efficient automatic sl processing tools based heavy mocap datasets particular automatic recognition generation