Monitoring and Prediction of Mood in Elderly People during Daily Life Activities

被引：0

作者：

Bautista-Salinas, Daniel ^{[1
]}

Roca Gonzalez, Joaquin ^{[1
]}

Mendez, Inmaculada ^{[2
]}

Martinez Mozos, Oscar ^{[1
]}

机构：

[1] Tech Univ Cartagena, Cartagena 30202, Spain

[2] Univ Murcia, Murcia 30100, Spain

来源：

2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2019年

关键词：

Mood Prediction; Wearable Devices; Mood Monitoring; Ecological Momentary Assessment; Quality of Life; Mental Health; STRESS;

D O I：

10.1109/embc.2019.8857847

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

We present an intelligent wearable system to monitor and predict mood states of elderly people during their daily life activities. Our system is composed of a wristband to record different physiological activities together with a mobile app for ecological momentary assessment (EMA). Machine learning is used to train a classifier to automatically predict different mood states based on the smart band only. Our approach shows promising results on mood accuracy and provides results comparable with the state of the art in the specific detection of happiness and activeness.

引用

下载

页码：6930 / 6934

页数：5

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