Petpuls Lab Inc. has harnessed to achieve perhaps the first instance of unidirectional interspecies communication made possible through . Through a Fitbit-sized dog collar, the algorithm collects ‘voice’ data of your dog, telling if your best friend is happy, anxious, relaxed, angry or sad. Petpuls’ proprietary algorithm utilizes its database of more than 10,000 bark samples collected from 50 diverse breeds in determining the emotional state via the collar.

SwissCognitive Guest Blogger: Abhinav Raj, a political correspondent for Immigration Advice Services.

What’s in a bark? For starters, data. -powered dog collar from South Korean start-up can analyse a wide range of emotions—from your dog’s barks. A South Korean wearable tech start-up is showing the world that translating your dog’s barks is paws-ible with .

Petpuls Lab Inc. has harnessed to achieve perhaps the first instance of unidirectional interspecies communication made possible through .
Through a Fitbit-sized dog collar, the algorithm collects ‘voice’ data of your dog, telling if your best friend is happy, anxious, relaxed, angry or sad. Petpuls’ proprietary algorithm utilizes its database of more than 10,000 bark samples collected from 50 diverse breeds in determining the emotional state of the dog wearing the collar. The collar pairs with Petpuls smartphone application available on iOS and Android operating systems. The app offers insight into the dog’s emotional status and physical activity.

How does it work?

Machine learning and methods have been employed in the past to audio analysis to classify, describe or interpret data from audio samples. These audio samples are represented graphically across an amplitude-time graph. The audio samples then, by comparative study, provide valuable insight into the emitter—which in this case is a dog.

The pet collar analyses the dog’s bark and through matching and cross-referencing voice data through its database, it computes the temperament of the dog, indicating whether its happy, anxious, resting, at ease, or agitated.

The beauty of machine-learning based models is that the more they are utilized, the better they get at predictive modelling. With every application, the dog collar gets better at determining the mood of the dog.

Image: Towards Data Science

The collar boasts of an 80 per cent accuracy rate in the determination of the emotional state of the…

Continue reading: https://swisscognitive.ch/2021/08/10/ai-collar/

Source: swisscognitive.ch