Design of an Intelligent Computational System for the Cognitive Training of People with Verbal Fluency Problems Associated to the Mild Cognitive Impairment

Autor: Belarmino Segura Giraldo, Santiago Murillo Rendón, Francia Restrepo de Mejía
Rok vydání: 2017
Předmět:
Zdroj: Advances in Intelligent Systems and Computing ISBN: 9783319615776
PAAMS (Special Sessions)
DOI: 10.1007/978-3-319-61578-3_48
Popis: Mild Cognitive Impairment is a previous state to the diagnosis of dementia. This condition implies changes over superior cognitive functions. Some associated factors as age, gender, the loneliness in elderly people, the level of schooling and the inversion of population pyramid are important aspects to take into account. Verbal fluency alteration is an outstanding phenomenon in Mild Cognitive Impairment patients. This alteration goes against vital aspects as the communication, reason related with the isolation in elderly people. Traditional cognitive training is limited because it can not be administered without specialized personnel. However, in the next years the amount of specialist will be insufficient. Computational Cognitive Training is a novel porpoise to decrease the effects of low personnel. Nonetheless, these systems are susceptible to be improved by means of the use of friendly Human Machine Interfaces as the speech recognition, the voice synthesis and the incorporation of cognitive characteristics as autonomy an anticipation. In this work, an improved Computational Cognitive Training Systems is proposed. This tool is designed under the Hybrid systems framework of Artificial Cognitive Systems. The principal aspects of the proposed design are shown. The preliminary results are presented.
Databáze: OpenAIRE