Gerard Nyiringango, Uno Fors, David K Tumusiime, Elenita Forsberg
Acceptance of virtual patients as a continuous professional development approach among practicing nurses in primary health care settings in a low-income country: a quasi-experimental posttest setup design
BMC nursing
last decades developments sensor technologies artificial intelligence applications received extensive attention daily life activity recognition autism spectrum disorder asd children neurological development disorder causes significant impairments social interaction communication sensory action deficiency children asd deficits memory emotion cognition social skills asd affects childrens communication skills speaking abilities asd children restricted interests repetitive behavior communicate sign language difficulties communicating others everyone knows sign language paper proposes bodyworn multisensorbased internet things iot platform using machine learning recognize complex sign language speechimpaired children optimal sensor location essential extracting features variations placement result interpretation recognition accuracy acquire timeseries data sensors extract various timedomain frequencydomain features evaluate different classifiers recognizing asd childrens gestures compare terms accuracy decision tree dt random forest artificial neural network ann knearest neighbour knn classifiers recognize asd childrens gestures results showed 96 recognition accuracy