18157267. SYSTEMS AND METHODS FOR DETERMINING USER INTENT BASED ON IMAGE-CAPTURED USER ACTIONS simplified abstract (Verizon Patent and Licensing Inc.)

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SYSTEMS AND METHODS FOR DETERMINING USER INTENT BASED ON IMAGE-CAPTURED USER ACTIONS

Organization Name

Verizon Patent and Licensing Inc.

Inventor(s)

Saikiran N. Chavali of Pune (IN)

SYSTEMS AND METHODS FOR DETERMINING USER INTENT BASED ON IMAGE-CAPTURED USER ACTIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18157267 titled 'SYSTEMS AND METHODS FOR DETERMINING USER INTENT BASED ON IMAGE-CAPTURED USER ACTIONS

Simplified Explanation:

This patent application describes a device that uses machine learning to identify a user in an image, generate a user identifier, analyze the user's pose points and angles, determine the user's actions, map these actions to intents, and interact with a conversational service to provide responses to the user.

Key Features and Innovation:

  • Image processing with machine learning to identify users and generate user identifiers.
  • Analysis of pose points and angles to determine user actions.
  • Mapping of actions to intents and generation of intent identifiers.
  • Interaction with a conversational service to provide responses to users.

Potential Applications: This technology could be used in security systems, personalized user experiences, fitness tracking, and interactive gaming applications.

Problems Solved: This technology addresses the challenges of accurately identifying users in images, understanding their actions, and providing relevant responses based on their intents.

Benefits: The benefits of this technology include improved user identification, personalized interactions, enhanced user experiences, and efficient communication through conversational services.

Commercial Applications: Title: Enhanced User Interaction Technology This technology could be commercially applied in security systems, fitness tracking devices, virtual reality applications, and interactive advertising platforms.

Prior Art: Prior art related to this technology may include research on image recognition, pose estimation, action recognition, and conversational interfaces.

Frequently Updated Research: Researchers are constantly exploring advancements in machine learning algorithms, image processing techniques, and natural language processing to enhance user interaction technologies.

Questions about Enhanced User Interaction Technology: 1. How does this technology improve user identification in images? 2. What are the potential privacy concerns associated with using this technology for user interaction?


Original Abstract Submitted

A device may process an image, with a machine learning model, to identify a user in the image and may generate a user identifier for the user. The device may process a portion of the image that includes the user, with the machine learning model, to identify pose points for the user. The device may calculate pose angles of the user based on the pose points and may determine an action of the user based on the pose angles. The device may associate the action with an action identifier, may map the action to an intent, and may generate an intent identifier for the intent. The device may provide the intent to a conversational service and may receive a response from the conversational service. The device may map the response to the intent based on the intent identifier and may provide the response to the user.

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