Emotion Identification Using Writing System
Mihaela E. Hnatiuc, Catalin Jan Iov, Bogdan-Cristian Savin · 2018
An analysis of the texts written by an individual can identify the different states of the individual and the character write. The proposed project aims to identify the subject comportment analyzing the pencil movements. The system used for movement identification are a pencil equipped with the vibration and accelerometer and gyroscope sensors. This system is personalized for each subject and using a parent data for the normal comportment can be identify another state as emotion, fatigue, et.al The sensors data are acquired using Arduino board using serial communication protocol based on two wire. The data are saved in Excel using a Lab View interface. MatLab software is used for data analysis.