Memorias de investigación
Ponencias en congresos:
Exploring Machine Learning Algorithms on Wearable Sensors? Data for the Automatic Valuation of Affective Dimensions.
Año:2016

Áreas de investigación
  • Ciencias naturales y ciencias de la salud,
  • Tecnología electrónica y de las comunicaciones

Datos
Descripción
Wearable sensors provide a continuous stream of data which is still not entirely exploited. Frequently, most of the data provided is directly the measure of the physiological signals provided by the sensors. The aim of this work is to explore the potential of the data provided by wearable sensors conceived for fitness monitoring to provide affective information. This is particularly relevant on health and wellness environments, especially on unsupervised environments, since they help to contextualize the monitoring of physiological signals with another point of view of the subject.
Internacional
Si
Nombre congreso
38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Biomedical Engineering: Empowering Individual Healthcare Decisions through Technology (EMBC 2016).
Tipo de participación
970
Lugar del congreso
Orlando, Florida USA
Revisores
Si
ISBN o ISSN
978-1-4577-0220-4
DOI
Fecha inicio congreso
16/08/2016
Fecha fin congreso
20/08/2016
Desde la página
2
Hasta la página
2
Título de las actas
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Biomedical Engineering: Empowering Individual Healthcare Decisions through Technology (EMBC 2016).

Esta actividad pertenece a memorias de investigación

Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Tecnologías de Apoyo a la Vida
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Tecnología Fotónica y Bioingeniería