EMG sensor output sampled and digitized at 1kHz capturing motor unit firing patterns.
Converts raw EMG waveform to absolute values reflecting muscle activation intensity.
Moving average filter (100–200 ms window) smooths rapid fluctuations for stable activation pattern.
Compares exercise data to personalized calibration baseline for tailored feedback.
Monitors deviations from baseline to generate real-time feedback for exercise correction.
Records user-specific muscle activity during controlled exercises to create a baseline stored in EEPROM.
Experimental Methodology
Feasibility Study, Scientific Experiment, Practical Trials validating sensor function, signal clarity, and user experience.
Signal quality improvement, 87% feedback accuracy, and positive user perception of posture awareness.
Simple rules compare muscle activity to baseline and display messages: Correct Form, Insufficient Engagement, Incorrect Form.
by shardhin
