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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