Abstract

Dogs are remarkable animals that can form strong social bonds with humans and excel in various sensory abilities. These qualities make them suitable for training in different domains such as assistance, search, and rescue. However, current training methods are complex, costly, and lengthy because they depend on the trainer’s subjective interpretation of the dog’s behaviour. A more objective and efficient way to train dogs would be to monitor their vital signs and use artificial intelligence to infer their adaptation and progress. In this paper, we propose a wearable system that measures the dog’s vital signs and motion and wirelessly transmits the data to a computer. We test and analyse the performance of our system prototype and discuss its implications for dog training.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call