How do we process biometrics data using machine learning ?

Hello, I have a problem. I’m quite new to machine learning and I can’t find a answer to this question :

What machine learning algorithms can be used to process biometrics data (e.g : EEG, GSR, heart rate, accelerometer, and video data…) to develop predictive models that can issue commands (e.g. turn on the TV), measure emotional response/engagement (e.g. how engaging is this ad), classify activities (eg. walking, running, etc.).

It’s kinda hard to fin any understandable information reading all scientific papers …

Can someone enlighten me please?

Thanks :slight_smile: