Nec corporation (20240249842). INFORMATION PROCESSING DEVICE simplified abstract

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INFORMATION PROCESSING DEVICE

Organization Name

nec corporation

Inventor(s)

Yuki Kosaka of Tokyo (JP)

INFORMATION PROCESSING DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240249842 titled 'INFORMATION PROCESSING DEVICE

The abstract of this patent application describes an information processing device that utilizes machine learning to output a measure for a human based on various types of feature values representing the human's condition.

  • Acquisition unit acquires a model generated for each elapsed period, learned by machine learning to output a measure for a human based on input of feature values.
  • Collection unit collects outputs obtained when a predetermined number of feature values are input to the model, as well as outputs obtained when only some feature values are input.
  • Setting unit sets types to be associated with the model of each elapsed period based on the collected outputs.

Potential Applications: - Decision-making assistance for users - Personalized recommendations based on human conditions - Healthcare monitoring and analysis

Problems Solved: - Providing personalized measures for individuals - Efficient utilization of machine learning models - Enhancing decision-making processes

Benefits: - Improved accuracy in measuring human conditions - Tailored recommendations for users - Enhanced user experience in decision-making

Commercial Applications: Title: Personalized Decision-Making Assistance Technology This technology can be applied in various industries such as healthcare, finance, and retail to provide personalized recommendations and assistance in decision-making processes. The market implications include improved customer satisfaction, increased efficiency, and enhanced data analysis capabilities.

Questions about the technology: 1. How does this technology improve decision-making processes for users? 2. What are the potential challenges in implementing this technology in real-world applications?

Frequently Updated Research: Stay updated on advancements in machine learning algorithms and personalized recommendation systems to enhance the capabilities of this technology. Regularly monitor developments in human condition monitoring and analysis techniques to improve the accuracy and efficiency of the information processing device.


Original Abstract Submitted

an information processing device of the present disclosure includes: an acquisition unit that acquires a model that is generated for each elapsed period, and has learned by machine learning to output a measure for a human by receiving input of a plurality of types of feature value representing a condition of the human; a collection unit that collects first output that is obtained when a predetermined number of types of feature value are input to the model of each elapsed period, and second output that is obtained when some types of feature value in the predetermined number of types of feature value are input to the model of each elapsed period; and a setting unit that sets, on the basis of the first output and the second output, types to be associated with the model of each elapsed period. thereby, the information processing device can be used for assistance of decision-making by a user, or the like.