A physiological signal database of children with different special needs for stress recognition

This study presents a new dataset AKTIVES for evaluating the methods for stress detection and game reaction using physiological signals. We collected data from 25 children with obstetric brachial plexus injury, dyslexia, and intellectual disabilities, and typically developed children during game therapy. A wristband was used to record physiological data (blood volume pulse (BVP), electrodermal activity (EDA), and skin temperature (ST)). Furthermore, the facial expressions of children were recorded. Three experts watched the children's videos, and physiological data is labeled Stress/No Stress and Reaction/No Reaction, according to the videos. The technical validation supported high-quality signals and showed consistency between the experts.

Automated summary

This study introduces a new dataset AKTIVES, which is used for evaluating stress detection and game reaction methods using physiological signals. The data was collected from 25 children with different conditions, including obstetric brachial plexus injury, dyslexia, and intellectual disabilities, as well as typically developed children during game therapy. Physiological data (BVP, EDA, ST) and facial expressions of the children were recorded. Three experts labeled the data as Stress/No Stress and Reaction/No Reaction based on the videos, and the technical validation showed good quality and consistency among the experts.