Horse Gait Identification Using Distributed Acoustic Sensing

Autor: Uilian José Dreyer, Guilherme Dutra, Rafael Jose Daciuk, Cicero Martelli, Jean Carlos Cardozo da Silva, Guilherme Heim Weber, Marco Jose da Silva, Freitas Ricardo Munoz, Daniel R. Pipa, Manoel Feliciano da Silva
Rok vydání: 2021
Předmět:
Zdroj: IEEE Sensors Journal. 21:3058-3065
ISSN: 2379-9153
1530-437X
DOI: 10.1109/jsen.2020.3027922
Popis: In this paper field measurements are carried out using a distributed acoustic sensing system (DAS) for the identification of horse gait. The DAS system has a spatial resolution of 1 m, frequency range of 1–5 kHz and the fiber length is of about 70 m. The optical fiber cable lays down into trench of 15 cm of depth. Several measurements are also carried out in order to fully understand the measuring capacity of the system, including a 2 kg calibrated impact hammer and a small controlled blast of 12.6 Pa of air pressure. Results demonstrate the capacity to measure soil mechanical waves speed of 171 m/s for the impact hammer tests and sound speeds in air of about 366 m/s for the controlled blast tests. The experiments involving horses allowed the identification of three distinct horse gait patterns: step, trot and gallop, as well the horse speed in each gait with SNR about 30 dB.
Databáze: OpenAIRE