Análisis de características de estrés situacional a partir de rostro en trabajadores de un call center usando técnicas de procesamiento de imágenes
Burnout syndrome is the cause of a high turnover of operators in call center companies, this is mostly due to the pressure to achieve goals and endure verbal abuse by users. For this reason, a tool for the detection of situational stress through digital image processing techniques is sought. This pr...
- Autores:
-
Pérez Ospino, Camilo Andrés
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2022
- Institución:
- Escuela Colombiana de Ingeniería Julio Garavito
- Repositorio:
- Repositorio Institucional ECI
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.escuelaing.edu.co:001/2098
- Acceso en línea:
- https://repositorio.escuelaing.edu.co/handle/001/2098
https://catalogo.escuelaing.edu.co/cgi-bin/koha/opac-detail.pl?biblionumber=23088
- Palabra clave:
- Procesamiento de imágenes digitales
Síndrome de Burnout
Ingeniería Biomédica
Procesamiento de imágenes digitales
Síndrome de Burnout
Ingeniería Biomédica
Digital Image Processing
Burnout syndrome
Biomedical engineering
- Rights
- openAccess
- License
- http://purl.org/coar/access_right/c_abf2
| Summary: | Burnout syndrome is the cause of a high turnover of operators in call center companies, this is mostly due to the pressure to achieve goals and endure verbal abuse by users. For this reason, a tool for the detection of situational stress through digital image processing techniques is sought. This project focuses on face segmentation with face mask and extraction of relevant features for classification. |
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