Creating something that has never been done before can often make you feel like you’re stumbling around in the dark alone, without a light. But thankfully this is 2018 and values are changing, collaboration is on the rise and there is a strong desire to solve many of the major human problems our society faces.
That desire has provided Sensie with support from some of the brightest minds and institutions in the world. From the fields of neuroscience, physiology, and phenomenology, to signal processing labs, and to the fast growing fields of ML/neural net tech. The support has been astounding.
For example, a recent insight gleaned from the Jha Lab at University of Miami was when Dr. Jha identified an opportunity in our calibration methods. This insight is an unlock that will improve our overall signal accuracy, setting us up for our clinical validation studies, and ultimately helping us tackle some of these really big human problems - such as the sky rocketing rate of addiction or 350 million people worldwide suffering from depression and anxiety. Or that suicide is now one of the leading causes of death for men and millenials.
It’s clear and safe to say that we’re in an emotional wellbeing epidemic.
What do all of these problems have in common? Stress.
Thankfully in 2018 we’re living in the upside down and it’s more likely for an individual to own a smartphone then it is for them to own health insurance. By training a smartphone to detect stress we can put the power of managing emotional wellbeing back into the individuals hands, where it belongs.
Do you live and breath machine learning (ML)? Looking to sharpen your ML skills?
Come out and help us co-hack the future of mental health. The Florida ML/AI community is gathering to compete to see who can produce the most accurate ML model to detect stress using a Sensie dataset.