Shape and temperature fiber sensors based on fs-laser written reflectors in 7-core fiber and machine learning

We present the experimental results on development of 3D shape and temperature fiber sensors based on random and regular reflectors inscribed by femtosecond laser radiation in 7 -core fiber. In the first case the 3D shape measurements accuracy of $\lt 5 \%$ was achieved, whereas in the second case temperature sensor utilizing a machine learning algorithm for a spectral analysis was demonstrated.