{"id":378080,"date":"2017-04-18T19:07:41","date_gmt":"2017-04-19T02:07:41","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=378080"},"modified":"2018-10-16T20:10:09","modified_gmt":"2018-10-17T03:10:09","slug":"prepose-privacy-security-reliability-gesture-based-programming-4","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/prepose-privacy-security-reliability-gesture-based-programming-4\/","title":{"rendered":"Prepose: Privacy, Security, and Reliability for Gesture-Based Programming"},"content":{"rendered":"

With the rise of sensors such as Microsoft Kinect, gesture-based interfaces have become practical. However, to recognize such gestures, applications need access to users’ depth and video, exposing sensitive data about individuals and their environment. Prepose, a domain-specific language for building gesture recognizers, combined with a system architecture that protects privacy, security, and reliability with untrusted applications, addresses these threats.<\/p>\n","protected":false},"excerpt":{"rendered":"

With the rise of sensors such as Microsoft Kinect, gesture-based interfaces have become practical. However, to recognize such gestures, applications need access to users’ depth and video, exposing sensitive data about individuals and their environment. Prepose, a domain-specific language for building gesture recognizers, combined with a system architecture that protects privacy, security, and reliability with 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