Identification of Children's Activity Type with Accelerometer-Based Neural Networks

Abstract

Applying ANN models to processing accelerometer data from children is promising for classifying common physical activities. The highest percentage of correctly classified activities was achieved when using triaxial accelerometer data from the hip.