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Articles

Machine learning based canine posture estimation using inertial data

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By Salvatore Tedesco, Conor O’Mahony, Brendan O’Flynn, Marinara Marcato
| PLOS ONE
1.2 Related work The work presented in this manuscript builds upon the existing literature on posture recognition systems for dogs. These systems can be classified according to the type of hardware and software technology deployed. The former relates to the method for gathering data for posture classification including inertial (accelerometer and gyroscope) or image (camera) based systems [36]. The latter is responsible for estimating posture based on data from sensors.
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