Happy Pets

Uwe Aickelin

About this app

A mobile application to determine the species of pet (dog/cat), their breed and their emotion. This is an exemplar mobile application to illustrate the kind of work in artificial intelligence ongoing within the School of Computing and Information Systems (CIS) at The University of Melbourne. The app was developed by the Melbourne eResearch Group (within the School of CIS).

Ratings and reviews

As an Artificial Neural Network specialist and professor at the University, I introduced the Happy pets app. to my students in order to try out it as an AI app. The overall result, we got from this software, was interesting. It showed more than 80% of a dog's emotions properly, which seemed interesting. Personally, I am very interested in flowers, plants, birds and their feelings. I think the use of artificial intelligence in this field is very useful and brings interesting results. I hope Professor Dr. Aickelin to complete this app. and continue his research in order to create the similar apps usable in different branches such it.

Fantastic app, I'm going to lose plenty of hours following around my poor cat finding out that she doesn't like cameras! The app does seem to be able to work out when she's happy as evidenced by her drooling as well as when she's unimpressed with her human. The app is very easy to use and quick with its analysis considering the difficulty of the task. The only complaint will be from my cat. She isn't patient and wants her human to stop trying to take photos of her.

It was a good diversion but not very accurate. I have a lot of photos and they were all listed as sad and unsettled. Some were but some were taken in the middle of very happy play. With dogs with hair it.might be good to include a posture/tail feature?

What’s new

- Improved prediction
- More breeds
- Added option for users to give feedback on results