Communication is key in every relationship, and understanding what your furry friend is feeling is even more important, precious and rare if you are a cat lover. So, sing hallelujah and take out your smartphone to take snapshots because there's a new feature in town that aims to help you understand your cat.
Animal health technology company Sylvester.ai, based in Calgary, Alberta, has developed an app called Tably that uses the phone's camera to tell whether a feline is feeling pain.
The app looks at ear and head position, eye-narrowing, muzzle tension, and how whiskers change, to detect distress. A 2019 study published in peer-reviewed journal Scientific Reports found that the so-called “feline grimace scale,” or FGS, is a valid and reliable tool for acute pain assessment in cats.
"It helps cat owners know if their cat is in pain or not," said Miche Priest, Sylvester.ai's venture lead. "We were able to train a machine using machine learning and a series of images."
The app could help young veterinarians, said Dr. Liz Ruelle of the Wild Rose Cat Clinic in Calgary, where developers trained the algorithm.
"I love working with cats, have always grown up with cats," she said. "For other colleagues, new grads, who maybe have not had quite so much experience, it can be very daunting to know – is your patient in pain?"
An app that learns patterns from images of cat faces can be helpful but cat owners should also look at their pet's whole body, including the tail, for clues about their well-being, said Alice Potter from British animal charity the RSPCA.
"Cats that are worried or scared will hold that tail really tight and tense to them. And then aside from that, there's also just thinking about their behavior in terms of are they eating, drinking, using the cat box, sleeping like they usually do?"
Bridging the gap between human and animal communication is not a new concept and more and more strides are increasingly being made in this field.
At the start of the year, a South Korean startup developed an artificial intelligence-powered dog collar that can detect five emotions in canines by monitoring their barks using voice recognition technology.
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