Wearable Audio Recorder with Server-Side Geotagging and Subsampling
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Solution Overview
Problem
Existing audio recording technologies lack efficient data mining capabilities and geotagging mechanisms, making it difficult to manage and retrieve relevant content from large audio datasets, especially in wearable devices, and do not allow for continuous audio recording without image capture or vice versa.
Innovation Solution
A system comprising wearable audio recorders with onboard sensors and processors that collect and convert audio into summary data using multi-leveled sub-sampling, transferring it to software applications for processing and visualization, allowing users to search and retrieve audio segments visually and via query across long time periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual copying and management of audio files is used, then storage and organization can be performed, but user burden increases and retrieval efficiency decreases
Solution Approach 1:
The system automatically performs audio file management, organization, and indexing without requiring user intervention. The wearable device and server handle transcription, tagging, and storage autonomously, allowing the system to serve itself rather than requiring manual user management of audio files.
Solution Approach 2:
Manual mechanical operations of copying, organizing, and searching audio files are replaced by automated computational processes. The system uses server-side processing, automatic transcription, and intelligent indexing to substitute human manual labor with automated digital systems.
2Loss of information
If geotagging mechanisms are implemented, then location information can be associated with audio, but device complexity and power consumption increase
Solution Approach 1:
The geotagging functionality is extracted from the wearable device and relocated to the server. The wearable device simply collects audio data, while the server handles the complex tasks of geotagging, mapping, and location-based indexing, thereby reducing device complexity while preserving location information.
Solution Approach 2:
The server acts as an intermediary between the wearable device and the geotagging functionality. Instead of the device directly implementing complex geotagging mechanisms, it transmits audio data to the server which then performs the geotagging operations, using the server as a mediating layer to handle complexity.
3Duration of action of stationary object
If continuous audio recording is performed, then complete audio record is captured, but storage requirements and power consumption increase
Solution Approach 1:
The system extracts and processes audio data in segments, transmitting only essential information to the server while retaining detailed audio locally when needed. This allows continuous recording duration without proportionally increasing wearable device storage requirements.
Solution Approach 2:
The continuous audio recording is segmented into manageable chunks that can be processed, stored, and managed efficiently. The system divides the continuous audio stream into discrete segments for transcription and analysis, allowing efficient storage and retrieval without requiring the entire continuous recording to be stored in one location.
4Speed
If data processing is performed on wearable device, then real-time analysis is achieved, but power consumption and device size increase
Solution Approach 1:
The data processing tasks are segmented and distributed between the wearable device and the server. The wearable device performs minimal real-time processing for immediate needs, while the server handles computationally intensive tasks like full transcription and analysis, allowing speed benefits without proportional power consumption increases.
Solution Approach 2:
The server acts as an intermediary processing layer that handles complex data analysis tasks. Instead of the wearable device performing all processing operations, it offloads intensive computational tasks to the server, which serves as a mediating processing layer between data collection and final analysis.
Data Source
AI summary
Wearable audio recorder and retrieval software applications for long term audio and related data recording, visualization, filtering, search, and proof of provenance, providing a record-all and find-later methodology capable of finding audio in multi-year audio data streams. System default state is to record permanently, allowing the user to decide when not to record instead of when to record. User interfaces enable users to retrieve desired recorded audio data by querying other types of recorded data which are related to the desired recorded audio data by way of time and spatial domains.