Nec corporation (20240127964). 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 Unanswered Questions
- 1.11 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 20240127964 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, personalized medicine, and biometric identification systems.
Problems Solved
1. Efficiently organizing and analyzing large amounts of living-body information data 2. Improving accuracy in estimating missing data in living-body information
Benefits
1. Personalized and tailored data analysis for individual users 2. Enhanced data accuracy and reliability 3. Improved user experience and satisfaction
Potential Commercial Applications
Optimizing healthcare services, developing advanced fitness tracking devices, 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 classify and analyze user data for various applications.
Unanswered Questions
How does the device ensure data privacy and security for user information?
The patent application does not provide details on the specific measures taken to protect user data privacy and security.
What are the potential limitations or challenges in implementing this technology on a large scale?
The patent application does not address the scalability or potential obstacles in deploying this technology in real-world applications.
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.
