Indirect monitoring of room's occupancy are two of the key requirements for technological systems that are used to secure independent housing for people in their home environment. For indirect monitoring of the Smart Home room's occupancy, we used Fiber Bragg grating sensor, temperature sensor T(°C), CO₂(ppm) sensor, and humidity sensor rH (%). The first part of the paper describes the proposal of an implementation of Fiber Bragg grating for the detection of human presence in a room of SH. The second part of this paper dealing with the use of CO₂ concentration measurement for detecting and monitoring room's occupancy with the implementation of Artificial Neural Network for the detection of human presence in the room of SH. Experimental results verified high method accuracy (<90%) within the short-term and long-term experiments. Utilization of Fiber Bragg grating in SH was proven on the experimental basis with the combination of measurement CO₂ for room's occupancy monitoring in SH.

Date Published: 11 April 2019
PDF: 9 pages
Proc. SPIE 11028, Optical Sensors 2019, 110281F (11 April 2019); doi: 10.1117/12.2520264

Published in SPIE Proceedings Vol. 11028:
Optical Sensors 2019
Francesco Baldini; Jiri Homola; Robert A. Lieberman, Editor(s)