negative thoughts prompt a whole host of physiological changes, some of which can be detected fairly easily:

skin conductance -- e.g.

heart rate chance -- e.g.

(not so easy to detect) eeg -- e.g.

On their own, this data is not so useful.I suspect though, that if they were used together, they would a lot better at detecting short term and long term patterns leading to a 'downward swing'.

Mashing in data other sources could improve this too:

voice pattern analysis. -- e.g.

fine movement changes. -- e.g.

How to combine this information? One option is to use artificial neural networks like used by Smartphones for understanding speech .


--enthusiasm for this project! Join us and spread the word! Citizen Science!

--are there other bio-signals that can be used? E.g. could we develop an unobtrusive headset to be worn to detect errant brain patterns via EEG? e.g.

--we will need thousands of people to take part in studies. I expect an app on your phone would monitor your vitals and periodically ask you about your mood. e.g.


--everyone, by taking part in our studies.

--software engineers, hackers, statisticians, psychologists, citizen scientists.


Yes! Start chatting about this. Sign up to the project.