Dieuwer Ten Braak, Ragnhild Lenes, David J Purpura, Sara A Schmitt, Ingunn Størksen
Why do early mathematics skills predict later mathematics and reading achievement? The role of executive function
Journal of experimental child psychology
recent years research demonstrating movement analysis utilizing machine learning methods promising aid clinicians supporting autism diagnostic process within field research aim explore new models delve detailed observation certain features previous literature identified prominent classification process study employs gamebased tablet application collect motor data use artificial neural networks analyze raw trajectories drag drop task compare twofeatures model utilizing raw coordinates fourfeatures model including velocities accelerations aim assess effectiveness raw data analysis determine impact acceleration autism classification results revealed models demonstrate promising accuracy classifying motor trajectories fourfeatures model consistently outperforms twofeatures model evidenced accuracy values 090 vs 076 however findings support potential raw data analysis objectively assessing motor behaviors related autism fourfeatures model excels twofeatures model still achieves reasonable accuracy addressing limitations related sample size noise essential future research study emphasizes importance integrating intelligent solutions enhance assist autism traditional diagnostic process intervention paving way effective tools assessing motor skills