Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/4149
Title: Health Tourism Monitor System Model
Authors: Pereira, Tiago C.
Costa, Eusébio
Borges, Isabel
Silva, Maria de Fátima
Pinto, Agostinho Sousa
Vásquez-Justo, Enrique
Keywords: Smart Tourism
Health and Wellness Tourism
Smart Cities.
Issue Date: 19-May-2022
Publisher: Springer
Citation: Pereira, T. C., Costa, E., Borges, I., Silva, M. F., Pinto, A. S., & Vásquez-Justo, E. (2022). Health Tourism Monitor System Model. In Carvalho, J.V.d., Liberato, P., Peña, A. (Eds.), Advances in Tourism, Technology and Smart Systems, Smart Innovation, Systems and Technologies (ICOTTIS 2021), (vol. 284, pp. 605-613). Springer. 10.1007/978-981-16-9701-2_50. Repositório Institucional UPT. http://hdl.handle.net/11328/4149
Abstract: Smart Cities are evolving in a rapid way and the fields of actuation are normally: Energy, Transport, Home Automation and Weather. In this research we address a particular component of Smart Cities, the Smart Tourism and in the tourism a particular branch, the Health and Wellness Tourism. We propose as an exploratory study based on design science research with two iterations: lab ex- periment, presented here and has future work the real context experiment, vital signs monitor system for smart health tourism that allows to the tourist to visit to local interest points without neglect the health treatments and medical monitor- ing. Thus, the system operates inside and outside health facilities in order to be possible to get the vital signs of the health tourist. Since the data will be acquired outside health facilities an information security risk assessment was made and the security measures were promoted. The system is composed by many technol- ogies, such as: smartwatch, raspberry pi, wireless sensor networks, among others and software. The vital signs acquired are Temperature, Blood Pressure, Heart Beat, Blood Oxygen level and, finally, the accelerometer will be used to detect falls. Beside this an adaptive artificial intelligence system will be used to predict health problems of the health tourist.
URI: http://hdl.handle.net/11328/4149
Appears in Collections:REMIT - Publicações em Livros de Atas Internacionais / Papers in International Proceedings

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