Apple inc. (20240184986). Text Suggestion Based on Environmental Context simplified abstract

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Text Suggestion Based on Environmental Context

Organization Name

apple inc.

Inventor(s)

Christopher D. Fu of Fremont CA (US)

Devin W. Chalmers of Oakland CA (US)

Paulo R. Jansen Dos Reis of San Jose CA (US)

Text Suggestion Based on Environmental Context - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240184986 titled 'Text Suggestion Based on Environmental Context

Simplified Explanation

The abstract describes a method for displaying text suggestions on a device by obtaining images of a physical environment, extracting semantic labels from the images, receiving text input, and generating text suggestions based on the semantic labels and the text input.

  • Obtaining images of a physical environment using an image sensor
  • Extracting semantic labels from the images
  • Receiving text input via an input device
  • Generating text suggestions based on the semantic labels and text input
  • Displaying the text suggestions on a display

Potential Applications

This technology could be applied in various fields such as augmented reality, virtual assistants, and smart home devices.

Problems Solved

This technology helps users by providing contextually relevant text suggestions based on their surroundings, improving efficiency and user experience.

Benefits

The benefits of this technology include enhanced user interaction, personalized suggestions, and improved productivity.

Potential Commercial Applications

Potential commercial applications of this technology include smart cameras, mobile devices, and smart home systems with text input capabilities.

Possible Prior Art

One possible prior art could be the use of image recognition technology in conjunction with text input for providing contextual suggestions, although the specific combination of features described in this patent may be novel.

Unanswered Questions

How does this technology handle privacy concerns related to capturing images of the physical environment?

The abstract does not mention any specific measures or protocols for addressing privacy concerns related to image capture. It would be important to understand how user data is handled and protected in this context.

What is the accuracy and reliability of the semantic labels extracted from the images?

The abstract does not provide details on the accuracy or reliability of the semantic labels extracted from the images. It would be crucial to know the performance metrics of this aspect of the technology to assess its effectiveness in real-world applications.


Original Abstract Submitted

in one implementation, a method of displaying text suggestions is performed at a device including an input device, a display, an image sensor, one or more processors, and non-transitory memory. the method includes obtaining, using the image sensor, one or more images of a physical environment. the method includes obtaining one or more semantic labels associated with the physical environment based on the one or more images of the physical environment. the method includes receiving, via the input device, text. the method includes determining one or more text suggestions based on the one or more semantic labels associated with the physical environment and the text. the method includes displaying, on the display, the one or more text suggestions.