Diseño de un sistema de análisis de emociones usando biosensores: caso de estudio en estudiantes de educación superior

Affective computing it’s a topic of research that works emotions recognition in users, with the aim of making or adapting products acording to the users needs. So, the interest it’s design a system that allow to recognize the emotional state of users throught the emotional valence identification, in...

Full description

Autores:
García Pardo, Leandro
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad de San Buenaventura
Repositorio:
Repositorio USB
Idioma:
spa
OAI Identifier:
oai:bibliotecadigital.usb.edu.co:10819/7430
Acceso en línea:
http://hdl.handle.net/10819/7430
Palabra clave:
Procesamiento de señales fisiológicas
Estados emocionales
Sensores fisiológicos
Physiological signal processing
Emotional states
Physiological sensors
Sensores
Estados emocionales
Diseño de sistemas
Rights
License
Atribución-NoComercial-SinDerivadas 2.5 Colombia
Description
Summary:Affective computing it’s a topic of research that works emotions recognition in users, with the aim of making or adapting products acording to the users needs. So, the interest it’s design a system that allow to recognize the emotional state of users throught the emotional valence identification, in search of the generation of a better experience when interact with products, since capture positive emotions in users, allow determine the quality of a product and satisfactions levels in the user.Emotions can be expressed in three ways: physiological, body expressions (voice, visual and body language) and cognitive. This resarch project will be analized the capture of physiological signals using biosensors that allow analyze emotional dimensions taking as measurement the valence and arousal in university students.Physiological sensors are an alternative to measure emotional states of people, because can detect the physiological activity of people in real time. However, each person can manifest different physiological answers expressing an emotional state. So, it must be analized in detail the signal and features of each one of the sensors used.