18542944. DATA PROCESSING DEVICE, SYSTEM, DATA PROCESSING METHOD, AND RECORDING MEDIUM simplified abstract (NEC Corporation)
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 18542944 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 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, and personalized medicine.
Problems Solved
1. Efficiently categorizing and analyzing living-body information data 2. Estimating interpolation data to fill in missing information accurately
Benefits
1. Improved accuracy in analyzing living-body information data 2. Personalized models for estimating interpolation data 3. Enhanced user experience in data processing and analysis
Potential Commercial Applications
"Data Processing Device for Living-Body Information Data Classification and Interpolation Estimation Models" could be used in healthcare analytics software, fitness tracking devices, and personalized medicine applications.
Possible Prior Art
One possible prior art could be the use of machine learning algorithms in data processing devices for categorizing and analyzing user data.
Unanswered Questions
How does the learning unit generate models for estimating interpolation data?
The learning unit likely uses machine learning algorithms to analyze correlations among sensor values, measurement time, and measurement position to generate accurate interpolation models.
What are the specific user attributes used for classifying living-body information data?
The specific user attributes could include age, gender, weight, height, activity level, and health conditions, among others.
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.
