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Our target is not sleep monitoring at all. We are improving the efficiency of deep sleep as a initial use, and the physical and mental health benefits that come
by pedalpete 4y ago
Our target is not sleep monitoring at all. We are improving the efficiency of deep sleep as a initial use, and the physical and mental health benefits that come from that.
We're not focused on "hackability" atm, but if you look at Emotiv, they have a software platform, as do OpenBCI. Some people have tapped into Muse (I believe).
It seems the EEG units that have offered open APIs have mostly removed them, I'm not sure why.
What sort of "messing around with the data" would you like to do?
We have looked at opening our data to users, but seeing as we are classified as a medical device, there are considerations that there.
- mkaic 4y agoI'm an ML researcher and I'm very interested in doing some self-experimentation with training personalized BCI models. My thought is that if all I am the only person using the models, it doesn't matter if the models overfit on my specific brain—in fact, that would be desirable! One application in particular I've thought a lot about is training a model to embed my brain activity in realtime and then using those embeddings to guide a diffusion model as it's generating an image—basically using the EEG to give the diffusion model live feedback during the denoising process. I know EEG isn't super spatially fine-grained, but I'm suspicious that I might be able to get some nifty results. Sort of like RLHF tuning, but on steroids!