Judy Laing, Jeremy Dixon, Kevin Stone
I was going into it blind': Nearest Relatives, legal literacy, and the Mental Health Act 1983
International journal of law and psychiatry
approximately 510 elementary school children show delayed development fine motor skills address problems detection required current assessment tools timeconsuming require trained supervisor motivating children sensoraugmented toys machine learning presented possible solutions address problem study examines whether sensoraugmented toys used assess childrens fine motor skills objectives 1 predict outcome fine motor skill part movement assessment battery children second edition fine mabc2 2 study influence classification model game type data level difficulty game prediction children elementary school n95 age 78 sd 07 years performed fine mabc2 played 2 games sensoraugmented toy called futuro cube game roadrunner focused speed game maze focused precision game several levels difficulty playing sensor game data collected four supervised machine learning classifiers trained data predict fine mabc2 outcome knearest neighbor knn logistic regression lr decision tree dt support vector machine svm first compared performances games classifiers subsequently compared levels difficulty types data classifier game performed best accuracy f1 score statistical tests used 05 highest achieved mean accuracy 076 achieved dt classifier trained sensor game data obtained playing easiest hardest level roadrunner game significant differences performance found accuracy scores data obtained roadrunner maze games dt p03 knn p01 lr p02 svm p04 significant differences performance found accuracy scores best performing classifier 3 classifiers roadrunner game dt vs knn p42 dt vs lr p35 dt vs svm p08 maze game dt vs knn p15 dt vs lr p62 dt vs svm p26 accuracy best performing level difficulty combination easiest hardest level achieved dt classifier trained sensor game data obtained roadrunner game significantly better combination easiest middle level p046 results study show sensoraugmented toys efficiently predict fine mabc2 scores children elementary school selecting game type focusing speed precision data type sensor game data important determining performance selecting machine learning classifier level difficulty