Fortunately, recent advances in context recognition and behavior analysis are creating an opportunity to transform our approach to many health conditions.
By combining wearable physiological sensors with advanced algorithms, our group seeks to derive unprecedented levels of insight from continuous, ambulatory health data.
He also led a group at Nokia Research integrating mobile applications and devices in the automotive industry.
Jonathan has a Ph D in Electrical Engineering from the University of Washington.
It employs around 250 researchers and engineers, has used more than 2,500 interns, has awarded over 230 Microsoft fellowships, has published over 1,500 papers for top international journals and conferences, and has achieved many technological breakthroughs.
More than 300 research results have been transferred to Microsoft products, including Windows, Office, Bing, Xbox, Kinect, and Windows Phone.
Cardiovascular healthcare today depends on in-clinic measurements taken just a few times a year — sparse snapshots of a patient’s overall well-being.
Continuous monitoring can give us a much more complete picture, but merely tracking signals introduces too many behavioral unknowns to support clinical decisions.
Scott has focused on sensors and analytics techniques that harness the untapped bandwidth of the human body for physiological interfaces to computing.
Scott received an MIT Technology Review Young Innovators award for his work using electromyography on the upper forearm to detect detailed finger movement.