Open AccessDetecting age groups using touch interaction based on neuromotor characteristics
Author(s) -
HernandezOrtega J.,
Morales A.,
Fierrez J.,
Acien A.
Publication year - 2017
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2017.0492
Subject(s) - discriminative model , kinematics , computer science , task (project management) , mobile device , artificial intelligence , human–computer interaction , simulation , engineering , physics , systems engineering , classical mechanics , operating system
A new parental control method to prevent unauthorised usage of touch devices by kids is proposed. The impact of rapidly advancing technology on the developing child has seen an increase exposition to new forms of danger. Studies reveal that 97% of US children under the age of four use mobile devices. A reliable and efficient method to prevent the use of touch devices by preschool children is proposed. The proposed method is based on the analysis of the neuromotor characteristics of the users according to the decomposition of simple drag and drop tasks using the kinematic theory of rapid human movements. The experimentation is conducted on a publicly available database with samples obtained from 89 children between 3 and 6 years old and 30 adults. The results are compared with an existent system based only on task time and accuracy. Finally, both systems are combined at score level to achieve better performances. The results, with correct classification rates over 96% in the combined system, show the discriminative ability of the proposed neuromotor‐inspired features and the possibility of combining this system with others to improve their final performance.