View source for 18543082. DATA PROCESSING DEVICE, SYSTEM, DATA PROCESSING METHOD, AND RECORDING MEDIUM simplified abstract (NEC Corporation)

=DATA PROCESSING DEVICE, SYSTEM, DATA PROCESSING METHOD, AND RECORDING MEDIUM=


==Organization Name==

[[:Category:NEC Corporation|NEC Corporation]]


[[Category:NEC Corporation]]

==Inventor(s)==

[[:Category:Kenichiro Fukushi of Tokyo (JP)|Kenichiro Fukushi of Tokyo (JP)]][[Category:Kenichiro Fukushi of Tokyo (JP)]]

[[:Category:Chenhui Huang of Tokyo (JP)|Chenhui Huang of Tokyo (JP)]][[Category:Chenhui Huang of Tokyo (JP)]]

[[:Category:Zhenwei Wang of Tokyo (JP)|Zhenwei Wang of Tokyo (JP)]][[Category:Zhenwei Wang of Tokyo (JP)]]

[[:Category:Fumiyuki Nihey of Tokyo (JP)|Fumiyuki Nihey of Tokyo (JP)]][[Category:Fumiyuki Nihey of Tokyo (JP)]]

[[:Category:Kentaro Nakahara of Tokyo (JP)|Kentaro Nakahara of Tokyo (JP)]][[Category:Kentaro Nakahara of Tokyo (JP)]]

==DATA PROCESSING DEVICE, SYSTEM, DATA PROCESSING METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18543082 titled 'DATA PROCESSING DEVICE, SYSTEM, DATA PROCESSING METHOD, AND RECORDING MEDIUM

==Simplified Explanation==

The patent application describes a data processing device that classifies living-body information data into groups based on user attributes and generates models for estimating interpolation data to fill in missing information using correlations among sensor values, measurement time, and measurement position.

* Classification unit categorizes living-body information data based on user attributes.
* Learning unit creates models for estimating interpolation data to fill in missing information.
* Models are generated using correlations among sensor values, measurement time, and measurement position.

== Potential Applications ==
This technology could be applied in various fields such as healthcare, fitness tracking, personalized medicine, and biometric security systems.

== Problems Solved ==
1. Efficiently categorizing and analyzing living-body information data.
2. Estimating interpolation data to fill in missing information accurately.

== Benefits ==
1. Improved data processing and analysis for personalized user information.
2. Enhanced accuracy in estimating missing data in living-body information.

== Potential Commercial Applications ==
"Personalized Health Monitoring System" - Optimizing health data analysis for individuals.

== Possible Prior Art ==
Prior art may include similar systems used in healthcare, fitness tracking, and biometric security industries.

== Unanswered Questions ==
=== How does the device handle data security and privacy concerns? ===
The patent application does not specify how the device addresses data security and privacy issues.

=== What are the potential limitations of the interpolation models generated by the learning unit? ===
The patent application does not discuss any potential limitations of the interpolation models.


==Original Abstract Submitted==

A data processing device that includes a classification unit that classifies at least one piece of living-body information data into at least one group based on an attribute of at least one user, the at least one piece of living-body information data including a sensor value relating to a living body of the user, and a measurement time and a measurement position of the sensor value, and a learning unit that generates, for each of the group, a model for estimating interpolation data for interpolating a deficit of the living-body information data using a correlation among the sensor value included in the living-body information data, the measurement time, and the measurement position.



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