Emotional states detection approaches based on physiological signals for healthcare applications: A review
Mood disorders, anxiety, depression, and stress affect people’s quality of life and increase the vulnerability to diseases and infections. Depression, e.g., can carry undesirable consequences such as death. Hence, emotional states detection approaches using wearable technology are gaining interest i...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad de Medellín
- Repositorio:
- Repositorio UDEM
- Idioma:
- eng
- OAI Identifier:
- oai:repository.udem.edu.co:11407/6071
- Acceso en línea:
- http://hdl.handle.net/11407/6071
- Palabra clave:
- Affective recognition
Deep learning
Emotional states
Emotions
Machine learning
Physiological signals
Quality of life
Smart city
Well-being
- Rights
- License
- http://purl.org/coar/access_right/c_16ec