The invention provides a sensor error calibration method and
system for a smart watch, and is applied to the field of
data processing. The intelligent watch is used for monitoring the sensor in real time, collecting trend
sensing data and detecting whether the data shows the deviation trend or not based on the preset standard, so that the accuracy of sensor
anomaly detection is improved, when data deviation is detected, abnormal values are recognized through standard deviation calculation and classified, and the accuracy of sensor
anomaly detection is improved. Comprising short-term sudden anomalies, long-term drift and outliers, so as to accurately analyze error sources, then judge whether abnormal values can be repaired or not, if yes, adopt linear, nonlinear or periodic drift compensation according to abnormal types, and dynamically adjust sensing error coefficients in combination with environmental factors to realize self-adaptive calibration, so that sensor drift can be effectively detected, and the detection accuracy is improved.
Data error accumulation caused by long-term use is prevented, it is ensured that the smart watch can maintain high-precision measurement in various environments, and user experience and equipment reliability are improved.