Towards real-time automatic stress detection for office workplaces

• Autores: Suni Lopez F., Condori-Fernandez N., Catala A.
• Formato: objeto de conferencia
• Fecha de Publicación: 2019
• Institución: Consejo Nacional de Ciencia Tecnología e Innovación
• Repositorio: CONCYTEC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.concytec.gob.pe:20.500.12390/809
• Enlace del recurso: https://hdl.handle.net/20.500.12390/809; https://doi.org/10.1007/978-3-030-11680-4_27
• Nivel de acceso: acceso abierto
• Materia: Workplace environments; Big data; Information management; Learning systems; Physiology; Electrodermal activity; Emotional trigger; Physiological data; Statistical approach; Stress detection; User satisfaction; Stresses; https://purl.org/pe-repo/ocde/ford#1.02.01

Authors would like to thank to Dirk Heylen, head of HMI Lab of University of Twente, for facilitating us the HMI Lab to conduct the experiments and his early feedback. Also, We thank all the participants who took part in our research. This work has been supported by grant 234-2015-FONDECYT (Master Program) from Cienciactiva of the National Council for Science, Technology and Technological Innovation (CONCYTEC-PERU). Moreover, this work has received financial support from the Spanish Ministry of Economy, Industry and Competitiveness with the Project: TIN2016-78011-C4-1-R; Council of Culture, Education and University Planning with the project ED431G/08, the European Regional Development Fund (ERDF).