Preliminary analysis of collar sensors for guide dog training using convolutional long short-term memory, kernel principal component analysis and multi-sensor data fusion

HIGHLIGHTS

• What: The authors developed and compared two supervised machine learning methods to analyze the data acquired from these sensors. While this collar system can be used in various stages of the guide dog training, in this study, the authors focused on analyzing the data collected from these devices during a behavioral evaluation protocol performed in a guide dog school. This work presented in this paper focuses on the testing performed on puppies at the 15-18-month age, which may have made it more likely for the authors to extract features representative of future adult behavior. This . . .
  

   

  

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