Realwear, Incorporated

Tom Dollente

Christopher Iain Parkinson

Sanjay Subir Jhawar

Kenneth Lustig

Systems and methods provide voice activated authentication over time. A user can be registered with a voice authentication system based on a voiceprint profile of common words. This user voiceprint profile can be used in an ongoing secondary authentication as a hands-free head-mounted wearable device is used over time. Upon a user logging into a hands-free head-mounted wearable device voiceprints can be collected during a session. These collected voiceprints can be compared with a user voiceprint profile for a user authorized to operate the hands-free head-mounted wearable device. Such a comparison can include an analysis of frequency, duration, and amplitude for the voiceprints. When the voiceprints match, the login of the user can be maintained based on this secondary authentication using the voiceprints matched to the user voiceprint profile.

Voice activated authentication

Aspects of the technology described herein allow a user to add tags to a video as the video is being recorded. The tags can be added by capturing the user's voice as the video is recorded. Aspects can be performed by a head-mounted display. The head-mounted display can include an augmented reality display. In one aspect, a list of tags are displayed. The tags can be selected from a curated list of tags associated with a project the user is filming. For example, a project could comprise a building inspection during construction. In another aspect, the most commonly used tags in a given context can be shown. The most commonly used tags associated with a particular context can be determined through machine learning process. At a high level, a machine learning process can sort through historical tag data and associated contexts to determine a pattern correlating a context to a tag.

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Milpitas, CA, United States of America

Tom Dollente