The primary function of an on-board SD card storage module within a human safety monitoring node is to serve as a high-fidelity data logger during the research and development phase. Its specific role is to record large-scale raw triaxial acceleration signals at a sampling rate of 100 Hz. This raw data collection is the fundamental step required to build long-term databases for posture stability analysis.
By capturing raw data rather than processed summaries, the SD card module enables researchers to perform retrospective analysis. This allows for the offline comparison of complex analytical strategies to determine which algorithms offer the best performance before final deployment.
The Role of Data Logging in Algorithm Development
Capturing High-Frequency Raw Signals
To accurately monitor human safety and posture, you cannot rely on low-resolution data. The SD card module is tasked with recording raw triaxial acceleration signals.
It operates at a sampling rate of 100 Hz, ensuring that rapid movements and subtle shifts in posture are captured with precision.
Establishing a Posture Stability Database
The immediate output of this module is not a safety alert, but a comprehensive dataset.
By facilitating long-term recording, the module helps researchers construct a posture stability database. This database serves as the "ground truth" against which all future monitoring algorithms are tested.
Enabling Offline Retrospective Analysis
Comparing Analytical Strategies
Once the raw data is secured on the SD card, it allows for offline retrospective comparisons.
Researchers can take the recorded 100 Hz signals and test different mathematical approaches side-by-side. Specifically, this data is used to evaluate the efficacy of discrete wavelet transforms versus time-domain features.
Optimizing for Robustness
The ultimate goal of this recording phase is optimization.
By having access to the raw data, engineers can refine their algorithms to ensure they are robust enough for real-world scenarios. The SD card acts as a safety net, ensuring no data resolution is lost while determining the best processing method.
Understanding the Trade-offs
Storage vs. Real-Time Processing
It is important to distinguish the function of this module from the final operational mode of a safety node.
The SD card prioritizes data preservation over immediate decision-making. In a deployed product, processing is often done in real-time to save power; however, during R&D, the SD card consumes resources to ensure no data is discarded.
The Cost of High-Fidelity
Recording at 100 Hz generates a significant volume of data.
This requires the SD card to handle large-scale writes continuously. While essential for research, this high-frequency logging creates a dependency on storage capacity that may not be sustainable or necessary in a final, battery-constrained commercial device.
Making the Right Choice for Your Goal
When designing or utilizing a human safety monitoring node, understanding the phase of your project dictates how you use this storage module.
- If your primary focus is algorithm optimization: Utilize the SD card to capture raw 100 Hz data, allowing you to retrospectively test strategies like discrete wavelet transforms.
- If your primary focus is database creation: Prioritize the stability of the recording process to ensure the long-term posture stability database remains consistent and uncorrupted.
The on-board SD card is the critical link that transforms ephemeral motion into a permanent, analyzable asset for safety research.
Summary Table:
| Feature | Functionality & Specifications |
|---|---|
| Primary Role | High-fidelity raw data logging for R&D |
| Data Type | Triaxial acceleration signals (Raw) |
| Sampling Rate | 100 Hz high-frequency recording |
| Key Application | Building posture stability databases |
| Analysis Method | Offline retrospective comparison of algorithms |
| Optimization | Discrete wavelet transforms vs. time-domain features |
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References
- Bruno Andò, Mario Zappia. A Comparison among Different Strategies to Detect Potential Unstable Behaviors in Postural Sway. DOI: 10.3390/s22197106
This article is also based on technical information from 3515 Knowledge Base .
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