International business machines corporation (20240185322). WEARABLE DEVICE RECOMMENDATIONS BY ARTIFICIAL INTELLIGENCE simplified abstract

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WEARABLE DEVICE RECOMMENDATIONS BY ARTIFICIAL INTELLIGENCE

Organization Name

international business machines corporation

Inventor(s)

Martin G. Keen of Cary NC (US)

Makenzie Manna of Poughkeepsie NY (US)

Ivan Deleuze of Montpellier (FR)

Victor Tardieu of Montpellier (FR)

WEARABLE DEVICE RECOMMENDATIONS BY ARTIFICIAL INTELLIGENCE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240185322 titled 'WEARABLE DEVICE RECOMMENDATIONS BY ARTIFICIAL INTELLIGENCE

Simplified Explanation

The abstract describes a patent application for using artificial intelligence to provide contextual wearable device recommendations to a user based on their environment and activity predictions.

  • Data characterizing the user's environment, including location data, is received by a computer.
  • Artificial intelligence analyzes the location data to predict user activity by comparing it with historical activity data.
  • A list of wearable devices with sensors is matched to the predicted user activity based on sensor capability.
  • The computer uses artificial intelligence to match wearable devices to user activity based on sensor capability.

Potential Applications

This technology could be applied in various industries such as healthcare, fitness, and retail to provide personalized recommendations based on user activity and environment.

Problems Solved

This technology solves the problem of users having to manually select wearable devices for different activities, as the AI system automates the process based on user behavior and location data.

Benefits

The benefits of this technology include improved user experience, increased convenience, and better utilization of wearable devices based on user activity.

Potential Commercial Applications

Potential commercial applications of this technology include smart fitness trackers, location-based advertising, and personalized shopping recommendations in retail stores.

Possible Prior Art

One possible prior art could be existing wearable device recommendation systems that use user data and preferences to suggest devices, but may not incorporate AI for activity prediction and sensor matching.

Unanswered Questions

How does the AI system learn and adapt to user preferences over time?

The article does not provide details on how the AI system continuously learns and adapts to user preferences and behavior patterns to improve recommendations.

What privacy measures are in place to protect user data and location information?

The article does not address the privacy concerns related to collecting and analyzing user data, especially location data, to provide personalized recommendations.


Original Abstract Submitted

artificial intelligence (ai) is used to generate contextual wearable device recommendations to a user. data is received at a computer that characterizes a user's environment, wherein the user environment includes location data. a prediction is made of user activity. a prediction is made, with a computer, of user activity from the location data. predicting the user activity includes artificial intelligence analyzing the location data for comparison with activities from historical activity data for the user. a list of wearable devices that are present on the user are characterized by sensors for capability. at least one of the wearable devices is matched to the user activity. by employing artificial intelligence the computer wearable devices are matched by capability of their sensor to the user activity

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