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Un algoritmo de control de activación de módulos GPS para fines de ahorro de energía en dispositivos portátiles orientados a estudios epidemiológicos |
| Published in: | Industry, Innovation, and Infrastructure for Sustainable Cities and Communities: Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education and Technology |  |
| Date of Conference: | July 24-26, 2019 |
| Location of Conference: | Montego Bay, Jamaica |
| Authors: | José Saldaña (Universidad Peruana de Ciencias Aplicadas, PE)
Sergio Rabanal (Universidad Peruana de Ciencias Aplicadas, PE)
Sergio Salas (Universidad Peruana de Ciencias Aplicadas, PE)
Kalun Lau (Universidad Peruana de Ciencias Aplicadas, PE)
Guillermo Kemper (Universidad Peruana de Ciencias Aplicadas, PE)
Christian del Carpio (Universidad Peruana de Ciencias Aplicadas, PE)
Gabriel Carrasco (Laboratorio de Innovación en Salud, Instituto de Medicina Tropical “Alexander Von Humboldt, PE)
Pierre Padilla (Laboratorio de Innovación en Salud, Instituto de Medicina Tropical “Alexander Von Humboldt, PE)
(Universidad Peruana de Ciencias Aplicadas) |
| Full Paper: | #128 |
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Abstract:This paper proposes an algorithm oriented towards saving energy in portable devices for epidemiological studies, in order to increase the autonomy and amount of information required to improve the quality of the research and studies involved. The proposed algorithm acquires information from a GPS module, an inertial measurement unit IMU, a temperature sensor and a humidity sensor. First, the algorithm determines GPS activation if the IMU shows movement of the monitored person or object. Once the GPS is activated, the positioning data is acquired at a certain accuracy and acquisition frequency. Then, the algorithm will modify the operating demand conditions of the GPS module, based on the detection of the temperature and humidity in environmental scenarios with high probability of tropical diseases. Validation tests were performed with a portable device developed with the indicated sensors and modules, evaluating the autonomy of this with the implementation of the proposed algorithm and without it. The results showed an increase in autonomy, that is equivalent to an additional 2 days of monitoring |