Programmed baby-monitor as part of the Internet of Things
DOI:
https://doi.org/10.34767/SIMIS.2020.02.03Keywords:
mobile application, electronic nanny, IoT.Abstract
The aim of the work was to create a mobile application cooperating with Raspberry Pi. It is supposed
to facilitate childcare by viewing the camera and notifying in case of noise. in the children's room. The mobile
application was made in the Android Studio environment. The system is based on wireless Wi-Fi communication,
which allows you to access data from the device in the whole area of operation of the local network. Data from
the device and the user database are stored on the Apache server in the MySQL database. A temperature and
humidity sensor has been used, which allows to monitor conditions in the child's room and to develop and
integrate in the world of the Internet of Things (IoT).
References
Guinard D. D., Trifa V. M. Internet Rzeczy Budowa sieci z wykorzystaniem technologii webowych i Raspberry Pi. Helion, Gliwice 2017.
Lanzola G., Losiouk E., Del Favero S., Facchinetti A., Galderisi A., Quaglini S., Magni L., Cobelli C. Remote blood glucose monitoring in mHealth scenarios: a review., Sensors (Basel). 2016; 16(12):1983.
Grabowski K, Rynkiewicz A, Lassalle A, BaronCohen S, Schuller B, Cummins N, Baird A, Podgórska-Bednarz J, Pieniążek A, Łucka I.Emotional expression in psychiatric conditions: New technology for clinicians, Psychiatry Clin Neurosci. 2019; 73(2):50-62.
Lin S. K., Wang L. C., Lin C. Y., Chiueh H. An Ultra-low power smart headband for real-time epileptic seizure detection. IEEE J Transl Eng Health Med. 2018; 6:2700410.
Singh H., Yadav G., Mallaiah R., Joshi P., Joshi V., Kaur R., Bansal S. iNICU - Integrated Neonatal Care Unit: capturing neonatal journey in an intelligent data way. J Med Syst. 2017; 41(8):132.
Rojek-Mikołajczak I., Bazy danych kurs podstawowy dla inżynierów informatyki, Wydawnictwo Akademii Bydgoskiej im. Kazimierza Wielkiego w Bydgoszczy, Bydgoszcz 2004.
Mikołajewska E., Mikołajewski D. Integrated IT environment for people with disabilities: a new concept. Central European Journal of Medicine 2014; 9(1):177-182.
Mikołajewska E., Mikołajewski D. Neurorehabiltiacja XXI wieku: Techniki teleinformatyczne. Impuls, Kraków 2011.
Mikołajewska E., Mikołajewski D. Attempts of integration of solutions for disabled people. J Health Sci 2011; 1(3):127-136.
Marechal C., Mikolajewski D., Tyburek K., Prokopowicz P., Bougueroua L., Ancourt C., Wegrzyn-Wolska K. Survey on AI-based multimodal methods for emotion Detection. High-Performance Modelling and Simulation for Big Data Applications 2019, pp. 307-324.