Mobile Invention Capture Authentication Using Motion Signatures
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems lack the ability to reliably verify the human origin of inventions, posing legal and ethical challenges in the domain of intellectual property rights, as AI-generated inventions are not universally recognized as patentable without human inventorship.
Innovation Solution
A computer-implemented method using a mobile device with an inertial measurement unit to detect a predetermined sequence of movements, authenticate the user, and record responses to invention-related questions in a multimodal format, timestamping each section for verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AI systems are used to generate inventions, then productivity and innovation speed are improved, but the ability to verify human inventorship deteriorates
Solution Approach 1:
The system performs preliminary authentication of the user's identity and human status before allowing the invention capture process to begin. This includes verifying biometric data and establishing a trusted connection between the human user and the capture device, ensuring that human involvement is confirmed before the invention is recorded.
Solution Approach 2:
The system introduces an intermediary authentication layer that mediates between the AI generation process and the patent record. This intermediary verifies and documents human involvement through multiple modalities (biometric verification, device interaction patterns, temporal analysis) to bridge the gap between AI productivity and human inventorship requirements.
2Quantity of substance
If AI systems autonomously generate inventions, then the quantity of inventions increases, but the authenticity of human contribution deteriorates
Solution Approach 1:
The system implements continuous feedback mechanisms during the invention capture process, monitoring device interaction patterns, analyzing temporal sequences of actions, and verifying biometric consistency throughout the session. This feedback loop ensures that human contribution is maintained and documented at each stage of the invention process.
Solution Approach 2:
The system adds multiple verification dimensions beyond simple authorship attribution, including spatial analysis of device movement patterns, temporal analysis of interaction sequences, and biometric verification dimensions. These additional dimensions create a multi-faceted authentication framework that preserves human contribution authenticity while allowing high-volume invention capture.
3Reliability
If traditional patent systems require human inventorship, then legal integrity is maintained, but the ability to recognize AI-assisted innovations deteriorates
Solution Approach 1:
The system dynamically adapts the authentication and capture process based on the detected level of AI involvement. It can adjust verification requirements, capture different types of interaction data, and modify the documentation approach to match the specific nature of human-AI collaboration, allowing the system to accommodate various innovation models while maintaining legal standards.
Solution Approach 2:
The system is designed to handle multiple types of invention scenarios universally, whether purely human-generated, AI-assisted, or AI-generated with human oversight. It provides a unified framework that can authenticate and document diverse innovation processes, making the patent system adaptable to different levels and types of AI involvement while maintaining consistent legal integrity.
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
Ensures reliable authentication of human inventorship by generating a unique digital signature linked to the inventor's actions, supporting legal frameworks that require human contributions in patent filings.
Implementation Method 1
The mobile device includes a sensor such as an inertial measurement device that is configured to detect the predetermined sequence of movements
Data Source
AI summary
A computer-implemented method for capturing and authenticating human-generated inventions. The method involves initiating a timestamped invention capture event; prompting a user to move a mobile device in a predetermined sequence detected by a sensor; and authenticating the user based on successful detection of this movement sequence. Upon authentication, the method prompts the user to answer a series of invention-related questions in a multimodal format, recording each response in distinct, timestamped sections. The responses are stored in a database as a text file that includes time and date records of the invention capture event, creating a secure, verifiable record of user-generated invention data. The method further provides a reliable system for capturing and attributing inventions accurately, thereby supporting patent-related processes requiring authenticated human inventorship.