Abstract
The scope of this proposed system is to implement multi-sensor robot architecture. The reduction of the human activities in hospital environment is the main target of utilizing the self-governing portable robots in numerous applications. The executed robot is a self-governing four wheels system that is designed to determine the sound level, light intensity, humidity and high temperature then transmitting data to a remote location and visualized in mobile application. Bluetooth connection is established between the Arduino on the robot and the smart phone. The smart phone acts as the manual controller which is responsible for directing the robot and receive data from Arduino. The Arduino navigates the robot based on the feedbacks from ultrasonic sensor to detect the barriers.
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References
Wu, C.-M., Lu, J.-T.: Implementation of remote control for a spraying robot. In: 2017 International Conference on Applied System Innovation, vol. 4, no. 2, pp. 1010–1013 (2017)
Block, V.A.J., et al.: Remote physical activity monitoring in neurological disease: a systematic review. PLoS One 11(4), 1–41 (2016)
Cippitelli, E., Fioranelli, F., Gambi, E., Spinsante, S.: Radar and RGB-depth sensors for fall detection: a review. IEEE Sens. J. 17(12), 3585–3604 (2017)
Erden, F., Velipasalar, S., et al.: Sensors in assisted living: a survey of signal and image processing methods. IEEE Signal Process. Mag. 33(2), 36–44 (2016)
Lin, C.-S., et al.: The remote cruise method for the robot with multiple sensors. Measurement 118(1), 194–201 (2018)
Kurkin, A.A., et al.: Autonomous mobile robotic system for environment monitoring in a coastal zone. Proc. Comput. Sci. 103(4), 459–465 (2017)
Yuan, J., Zhang, J.: Cooperative localization for disconnected sensor networks and a mobile robot in friendly environments. Inf. Fusion 37(5), 22–36 (2017)
Frommknech, A., et al.: Multi-sensor measurement system for robotic drilling. Robot. Comput. Integr. Manuf. 47(3), 4–10 (2017)
Ilkka, K., Jero, A.: Estimating the specific heat capacity and heating of electronic sensors and devices. IEEE Inst. Meas. Mag. 21(1), 54–62 (2018)
Liu, J., Shen, H.: Characterizing data deliverability of greedy routing in wireless sensor networks. IEEE Trans. Mob. Comput. 17(3), 543–559 (2018)
Uthayakumar, S., Uma, G.: ANFIS-based sensor fault-tolerant control for hybrid grid. IET Gener. Transm. Distrib. 12(1), 31–41 (2018)
Cong, W., Li, J., et al.: Combining solar energy harvesting with wireless charging for hybrid wireless sensor networks. IEEE Trans. Mob. Comput. 17(3), 560–576 (2018)
Herrera, R.H., Tary, J.B., Van Der Baan, M., et al.: Body wave separation in the time-frequency domain. IEEE Trans. Biomed. Eng. 12(4), 364–368 (2015)
Hadis, N.S.M.: Fabrication of fluidic-based mersister sensor for dengue virus detection. In: 2017 IEEE Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics (Prime Asia), vol. 1, no. 2, pp. 105–108. IEEE (2017)
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Mahdy, L.N., Ezzat, K.A., Hassanien, A.E. (2019). Integrated Multi-sensor Monitoring Robot for Inpatient Rooms in Hospital Environment. In: Hassanien, A., Tolba, M., Shaalan, K., Azar, A. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018. AISI 2018. Advances in Intelligent Systems and Computing, vol 845. Springer, Cham. https://doi.org/10.1007/978-3-319-99010-1_11
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DOI: https://doi.org/10.1007/978-3-319-99010-1_11
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