Thursday, December 29, 2016

VR Analytics=Privacy Invasion? (part 3/4)

VR products are considered to be excellent sources for a new field that is being called “emotion detection.” Sensors mounted on VR headsets can read micro expressions by tracking eye and muscle movements in the face. A benefit to users is that this information can give their VR avatars facial expressions that mirror their own, and VR avatars are—at least with Facebook—the next intended step for VR insertion into our online social lives. The company founder of Fusion said their primary goal is to “unlock human emotion,” a goal shared by Affectiva, an MIT company that offers “emotion detection as a service.” Clients of this service will be able to mine images and video feeds from webcams for data revealing how people react to certain cues. It is thought that eventually VR systems will be able to capture the entire range of body motion, forming a “kinematic fingerprint” for each user. This fingerprint could be used to uniquely identify and analyze a person, both inside and outside of VR. Gait recognition already exists within some security camera monitoring systems, so kinematic fingerprinting is the next step for the technology.

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