In the realm of animal behavior analysis, recent strides in deep learning have significantly transformed our ability to track and understand the movements of animals in laboratory settings. While these techniques excel in controlled environments, their application to larger animals in open spaces, such as dogs, presents a unique challenge. We address this gap by leveraging wearable sensors to monitor and analyze canine behavior in diverse real-world scenarios.

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We are currently collecting a dataset of dog behavior using video and sensor data from Xsens sensors.