Figure 2.

Data acquisition flow. Dogs wearing collar-mounted activity monitors were video recorded performing behaviors of interest or performing everyday activities. Videos were uploaded and the behaviors exhibited in them were manually labeled (tagged). The devices automatically uploaded accelerometer (activity) data to cloud servers, and the device data were aligned with the video labels to remove any temporal offset. The aligned labels and accelerometer time series were combined into datasets suitable for training machine learning (ML) models.