Biometric Video Synchronization via Timestamp Mediation
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Solution Overview
Problem
Current biometric devices lack the ability to efficiently combine and synchronize biometric data with video and other data types, limiting their informative value and dynamic usage, especially in applications requiring real-time monitoring and analysis across different operating systems and platforms.
Innovation Solution
A system and method that integrates biometric data with video data, using a computing device with modules for capturing, processing, and synchronizing biometric, video, and self-realization data, allowing for real-time and post-session analysis, visualization, and sharing, while enabling cross-platform compatibility and advanced data processing techniques like Big Data analysis and Machine Learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If biometric data is collected and stored separately from video data, then data processing efficiency is improved, but data integration and synchronization capability deteriorates
Solution Approach 1:
The system divides biometric data and video data into separate processing streams, allowing independent optimization of each data type while maintaining their relationship through synchronization timestamps and event markers. This segmentation enables efficient processing of large datasets without compromising the ability to integrate them when needed.
Solution Approach 2:
The patent introduces intermediary components including synchronization modules, timestamp mechanisms, and event markers that act as mediators between separate biometric and video data streams. These intermediaries enable the system to maintain data separation for processing efficiency while providing integration capability when analysis or visualization requires combined data.
2Loss of information
If multiple data types (biometric, video, self-realization) are integrated and synchronized, then information completeness is improved, but system complexity increases
Solution Approach 1:
The system employs a universal data structure and common synchronization protocol that can handle multiple data types (biometric, video, self-realization) through the same processing framework. This multi-functionality allows comprehensive data integration without requiring separate complex systems for each data type, reducing overall system complexity while maintaining information completeness.
Solution Approach 2:
The patent utilizes parameter changes such as timestamps, sampling rates, and data format transformations to standardize different data types into a common representation. By changing parameters to create a unified data model, the system can integrate diverse information sources without the complexity of managing multiple specialized processing pipelines.
3Reliability
If biometric data is synchronized with video data in real-time, then monitoring capability is improved, but data processing time and computational resources increase
Solution Approach 1:
The system implements periodic sampling and synchronized data collection at predetermined intervals rather than continuous real-time processing. This periodic action maintains reliable monitoring capability by capturing essential data points while reducing the computational burden and processing time required compared to continuous analysis of all data streams.
Solution Approach 2:
The patent applies preliminary actions by pre-synchronizing data streams using timestamps and event markers during data collection, and by pre-processing data into standardized formats. This preliminary organization enables faster retrieval and analysis during monitoring operations, reducing the time required for real-time processing while maintaining monitoring reliability.
Data Source
AI summary
A method is provided for identifying and displaying video data of a user, either alone or together (in synchronization) with other data, such as biometric data acquired during a time that the video data was captured/received. The method includes storing biometric data separately from the video data, allowing the biometric data to be search quickly to identify at least one value (e.g., a value corresponding to at least one biometric event). At least one biometric time-stamp (e.g., a time, a sample rate, a position within a plurality of values, etc.) linked to the identified value can then be used to identify a corresponding video time-frame, which can then be used to play the video data, either alone or together with biometric data, starting at a particular time (e.g., at a time that the event occurred, shortly before the event occurred, etc.).