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Augmented reality field of view based on sensed user data

專利號
US11176753B1
公開日期
2021-11-16
申請人
INTERNATIONAL BUSINESS MACHINES CORPORATION(US NY Armonk)
發(fā)明人
Divya Kannan Chakravarthi; Kriteshwar Kaur Kohli; Vinod A. Valecha; John A. Lyons
IPC分類
G06T19/00; G06F3/01; G06K9/00; G06N20/00
技術(shù)領(lǐng)域
or,ar,stress,computing,in,world,augmented,user,inducing,real
地域: NY NY Armonk

摘要

User-specific augmentation of a real word field of view viewable through an augmented reality (AR) device is facilitated by a processor(s) receiving image data representative of a real world field of view viewable by a user through the AR device, and receiving sensor data indicative of the user's stress level, which is related, at least in part, to the user's real world field of view viewable through the AR device. The processor(s) processes the image data, based on the user's stress level, to identify one or more stress-inducing elements to be hidden in the real world field of view viewable through the AR device. Further, the processor(s) provides an augmented real world field of view for display to the user through the AR device, where the one or more stress-inducing elements are hidden from the user in the augmented real world field of view.

說明書

In some embodiments of the present invention, certain of the APIs of the IBM Watson API include a machine-learning agent (e.g., learning agent) that includes one or more programs, including, but not limited to, natural language classifiers, Retrieve-and-Rank (i.e., a service available through the IBM Watson? developer cloud that can surface most-relevant information from a collection of documents), concepts/visualization insights, tradeoff analytics, document conversion, natural language processing, and/or relationship extraction. In an embodiment of the present invention, one or more programs can be provided to analyze data obtained by the program code across various sources utilizing one or more of, for instance, a natural language classifier, Retrieve-and-Rank APIs, and tradeoff analytics APIs. In operation, the program code can collect and save machine-learned data used by the machine-learning agent.

權(quán)利要求

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