Emotional condition in the Health Smart Homes environment: emotion recognition using ensemble of classifiers

Autor(es)

Mano, Leandro Y. ; Yildirim, T ; Manolopoulos, Y ; Angelov, P ; Iliadis, L

• Tipo de documento: Artigo Científico
• Fonte: 2018 INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (INISTA); v. N/A, p. 8-pg., 2018-01-01.

Resumo

The fraction of elderly people in the population has increased significantly in most developed countries in recent years. Embedded computing enables the deployment of Health Smart Homes that can enhance nurses or caregivers to assist patients in need of timely help, and the implementation of this application can be extremely easy and cheap when aided by Internet of Things technologies. In addition, there are few studies that take into account the patient's emotional state, which is crucial for them to be able to recover from a disease. This article discusses the use of images and emotional detection to assist patients and elderly people within an in-home healthcare context and sets out a model for the classification of emotions based on the facial expressions of the users. Finally, the results described in this article show that the Ensemble Classification that is put forward can achieve greater rates of accuracy, average of 82,53%, in classifying feelings than what can be obtained by using a single classifier. (AU)

• Processo FAPESP: 17/21054-2 - Combinando Inteligência Artificial e Multimodal para Emoção Classificação
• Beneficiário: Leandro Yukio Mano Alves
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado
• Processo FAPESP: 16/14267-7 - Explorando Internet das Coisas e Inteligência Artificial no contexto de Saúde em Casas Inteligentes: uma abordagem física e emocional
• Beneficiário: Leandro Yukio Mano Alves
• Modalidade de apoio: Bolsas no Brasil - Doutorado