Predicting the future
so you can change it.
Introducing a new way to predict and prevent child and teenage suicide using cell phone sensors, advanced AI neural nets, and predictive models similar to weather forecasting. Each time they unlock their phone, the FREE emForecastr app screens your child's emotional health and predicts a time period when there could be a high probability of suicide.
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Each time a cell phone is activated, its sensors create an emotional screenshot of its user using micro facial expressions.
This data is then combined with body language, voice, behavioural, and contextual data and fed into artificial intelligence algorithms that predict suicide with more than 95% accuracy.
Parents are notified of the results and are able to find the right therapy or form of intervention through the emConnectr.
Machine vision algorithms can analyze micro facial expressions 15 times a second using a cell phone or any other camera. When measured multiple times a day, AI can average an emotional score, building a trend over time.
Because no one can intentionally manipulate each micro facial expression over a long period of time, mental health professionals can rely on this clinical grade and objective data, increasing the accuracy of their diagnosis.
How can you help create data for mental health?