Smart Contract Asset Distribution via Movement Data Irregularity Detection
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Solution Overview
Problem
Blockchain technology faces challenges such as high energy consumption, specialized knowledge requirements, scalability issues, and privacy concerns, which hinder its practical implementation, especially in securely redistributing cryptographic wealth in emergency situations like incapacitation of the wallet owner.
Innovation Solution
A system that detects irregular events by analyzing movement data and user profiles, using self-executing code to automatically distribute cryptographic resources, allowing access to cryptographic assets even if the owner is incapacitated, by comparing GPS and inertial data with user profile data to determine if an irregularity has occurred.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blockchain technology is used to store and transfer cryptographic assets, then security and decentralization are improved, but accessibility in emergency situations deteriorates when the wallet owner is incapacitated
Solution Approach 1:
The system performs preliminary actions by pre-configuring a smart contract with predefined instructions for asset distribution in case of incapacitation. The contract includes predetermined beneficiary addresses and distribution conditions, so that when incapacitation is detected through movement data analysis, the assets can be automatically transferred without requiring the owner's prior intervention or knowledge.
Solution Approach 2:
The patent introduces an intermediary system consisting of a centralized server and smart contract that acts as a mediator between the wallet owner and the cryptographic assets. This intermediary monitors movement data, determines incapacitation status, and executes the asset distribution according to the pre-programmed logic, thereby enabling access to assets without direct owner involvement during emergency situations.
2Loss of time
If self-executing code is used to automatically distribute cryptographic resources, then response time in emergency situations is improved, but system complexity increases
Solution Approach 1:
The system segments the asset distribution function into separate modular components: a data collection module for gathering movement data, a determination module for analyzing whether incapacitation has occurred, and an execution module for transferring assets. This segmentation allows each component to be developed, tested, and maintained independently, reducing overall system complexity while maintaining automated response capability.
Solution Approach 2:
The smart contract implements self-service by automatically executing the asset distribution logic without requiring external intervention once incapacitation is detected. The contract contains self-contained instructions that it executes autonomously, eliminating the need for manual transfer operations and reducing response time while keeping the execution logic simple and transparent.
3Measurement precision
If movement data analysis is used to detect irregular events, then accuracy in determining incapacitation is improved, but data processing requirements and energy consumption increase
Solution Approach 1:
The system applies partial action by analyzing only the most relevant movement data parameters (such as GPS location changes, acceleration patterns, or device usage patterns) rather than processing all possible sensor data. This selective analysis approach maintains sufficient accuracy for incapacitation detection while significantly reducing the computational load and energy consumption required for data processing.
Data Source
AI summary
The invention relates to executing an action for a cryptographic storage application by comparing a movement dataset, which may contain positional and inertial datasets, with a user profile dataset. The system may receive a first cryptographic storage application address, retrieve a first movement dataset corresponding to a first time period, retrieve a user profile dataset, compare the first movement dataset with the user profile dataset, and execute an action for the first cryptographic storage application.


