NFC Mobile Device Data Mining for Environmental Context
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Solution Overview
Problem
Data mining applications do not effectively utilize information flow from NFC systems to describe user environments, lacking context that could enhance data collection and provide new services and applications.
Innovation Solution
A method involving a mobile device that receives transponder information, verifies user consent, and transmits it to an operator's network device for data mining, generating environmental data and predictive information based on RFID information to provide personalized services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data mining applications collect information from NFC systems, then the quantity of data available for analysis increases, but the system complexity and difficulty of integrating NFC information flow increases
Solution Approach 1:
The system segments the data collection process by having the mobile device handle NFC transponder information collection separately, then transmit processed data to the network device for data mining. This division separates the complexity of NFC communication from the data mining application, allowing each component to function independently.
Solution Approach 2:
The mobile device acts as an intermediary between the NFC transponder system and the network device. It receives transponder information, processes it locally, and transmits relevant data to the network, thereby simplifying the integration complexity for both the NFC system and the data mining application.
2Measurement precision
If environmental context data is collected and analyzed, then the quality and relevance of data mining results improves, but the amount of processing required and computational resources increases
Solution Approach 1:
The mobile device performs preliminary processing of NFC transponder information before transmission to the network device. By pre-processing and filtering data at the source, the system reduces the computational burden on the network device while still providing high-quality environmental context data for analysis.
Solution Approach 2:
The system collects and transmits only the necessary environmental context data from NFC transponders that is relevant to the data mining application, rather than processing all possible data. This partial action approach maintains result quality while reducing computational resource requirements.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances data mining by incorporating environmental context, enabling new applications and services that improve user experiences and operational efficiency for network operators and third parties.
Implementation Method 1
radio frequency identification (RFID)... NFC transponder... receives transponder information from an NFC transponder
Data Source
AI summary
A method, performed by a mobile device, may include receiving transponder information relating to a consumer product, and verifying whether user consent exists to forward the transponder information to a network device for data mining processing. The method may further include transmitting the transponder information to the network device, when user consent exists.