Nec corporation (20240127965). DATA PROCESSING DEVICE, SYSTEM, DATA PROCESSING METHOD, AND RECORDING MEDIUM simplified abstract
Contents
- 1 DATA PROCESSING DEVICE, SYSTEM, DATA PROCESSING METHOD, AND RECORDING MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DATA PROCESSING DEVICE, SYSTEM, DATA PROCESSING METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
DATA PROCESSING DEVICE, SYSTEM, DATA PROCESSING METHOD, AND RECORDING MEDIUM
Organization Name
Inventor(s)
Kenichiro Fukushi of Tokyo (JP)
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 20240127965 titled 'DATA PROCESSING DEVICE, SYSTEM, DATA PROCESSING METHOD, AND RECORDING MEDIUM
Simplified Explanation
The data processing device described in the patent application includes a classification unit that categorizes living-body information data based on user attributes, and a learning unit that 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 generates models for estimating interpolation data 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 identification 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 2. Enhanced accuracy in estimating missing information 3. Personalized user experience based on individual attributes
Potential Commercial Applications
Optimizing healthcare services, developing advanced fitness trackers, enhancing biometric security systems, and improving personalized medicine practices.
Possible Prior Art
One possible prior art could be the use of machine learning algorithms in data processing devices to analyze and categorize user data for various applications.
Privacy concerns may arise regarding the collection and storage of sensitive user data, such as health information and biometric data. Users may be worried about the security of their personal information and how it is being used by companies or third parties.
How can the accuracy of the interpolation data generated by the learning unit be validated and ensured?
The accuracy of the interpolation data can be validated through testing and validation processes using real-world data sets. Cross-validation techniques and comparison with ground truth data can help ensure the reliability and accuracy of the generated interpolation data.
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.
