Stephen S Kulis, Flavio F Marsiglia, Maria Porta, Marvyn R Arévalo Avalos, Stephanie L Ayers
Testing the keepin' it REAL Substance Use Prevention Curriculum Among Early Adolescents in Guatemala City
Prevention science : the official journal of the Society for Prevention Research
continuous detection emotional states many applications mental health marketing humancomputer interaction assistive robotics electrodermal activity eda signal modulated sympathetic nervous system activity provides continuous insight emotional states however eda possesses intricate nonstationary nonlinear characteristics making extraction emotionrelevant information challenging propose novel graph signal processing gsp approach model eda signals graphical networks termed edagraph gsp leverages graph theory concepts capture complex relationships timeseries data test usefulness edagraphs detect emotions processed eda recordings case emotion dataset using gsp quantizing linking values based euclidean distance nearest neighbors edagraphs computed features graph analysis including total load centrality tlc total harmonic centrality thc number cliques gnc diameter graph radius compared features features obtained using traditional eda processing techniques edagraph features encompassing tlc thc gnc diameter radius demonstrated significant differences p005 five emotional states neutral amused bored relaxed scared using machine learning models classifying emotional states evaluated using leaveonesubjectout crossvalidation achieved fiveclass f1 score 068