What it was supposed to do
TindEEG should be able to control Tinder picture selection by using arousal and valence get from EEG signal. If the user had higher valence and arousal (positive and strong emotions) for the profile content, the app would like the content and match the profile.
How we built it
The Android application uses Muse API for EEG signal recording, and Tinder API for matching with real users of the popular dating service. We build it in Android Studio.
Challenges we ran into
The major problems were in getting and managing data from the Muse API. The documentation was not great, and our knowledge in Java and Android wasn't broad enough.
Accomplishments that we're proud of
Actually managing to connect to Tinder API, even if it is a close environment. And creating some Android App was cool :D
What we learned
Don't be over ambitious.
What's next for TindEEG
Aggregate the EEG data and apply some machine learning (SVM, ...) to interpret the data better and produce a score to measure how much you liked the profile and enhance the user experience. Unlike the other dating apps that are based on a binary answer (like, dislike).
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