Improving retail efficiency through sensing technologies: A survey

Quintana González, Marcos, Menéndez García, José Manuel ORCID: https://orcid.org/0000-0003-0584-2250, Álvarez García, Federico ORCID: https://orcid.org/0000-0001-7400-9591 and López Velasco, Juan Pedro (2016). Improving retail efficiency through sensing technologies: A survey. "Pattern Recognition Letters", v. 81 ; pp. 3-10. ISSN 0167-8655. https://doi.org/10.1016/j.patrec.2016.05.027.

Descripción

Título: Improving retail efficiency through sensing technologies: A survey
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Pattern Recognition Letters
Fecha: 1 Octubre 2016
ISSN: 0167-8655
Volumen: 81
Materias:
ODS:
Palabras Clave Informales: Intelligent retail; Computer vision; Human tracking; Facial analysis; Human-object interaction
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Measuring customer reaction to new products for understanding their level of engagement is necessary for the future of retail. This work introduces a workflow to improve the quality and efficiency of the retail establishments in order to increase their attractiveness. Different research fields are explored to fulfill the requirements of the proposed scenario, remarking most useful works in the literature. The manuscript goes through relevant algorithms to infer properties of consumers like demography, attention or behavior based on their appearance (computer vision techniques), and on signal captured by generation sensors from smart mobile devices, that will add a great value for the retailers. This paper offers a complete overview of this research field which covers a great variety of innovative tools.

Más información

ID de Registro: 46144
Identificador DC: https://oa.upm.es/46144/
Identificador OAI: oai:oa.upm.es:46144
Identificador DOI: 10.1016/j.patrec.2016.05.027
URL Oficial: https://www.sciencedirect.com/science/article/pii/...
Depositado por: Memoria Investigacion
Depositado el: 03 Jun 2017 11:39
Ultima Modificación: 31 Mar 2023 15:12