Optimum Experimental Design applied to MEMS accelerometer calibration for 9-parameter auto-calibration model.

Area of Science:

• Engineering
• Instrumentation
• Sensor Technology

Background:

• Optimum Experimental Design (OED) is crucial for efficient parameter estimation.
• MEMS accelerometer calibration requires robust and accurate methods.
• Wearable sensor development necessitates simplified calibration procedures.

Purpose of the Study:

• To investigate and apply Optimum Experimental Design (OED) for MEMS accelerometer calibration.
• To validate the G-optimal and rotatable properties of the proposed OED.
• To demonstrate the effectiveness of OED with a novel wearable health monitoring device.

Main Methods:

• Linearization of a 9-parameter MEMS accelerometer auto-calibration model.
• Application of G-optimal and rotatable design principles.
• Experimental validation using a newly developed wearable health monitoring device.

Main Results:

• The proposed OED demonstrates G-optimal and rotatable characteristics.
• Successful calibration of a MEMS accelerometer was achieved.
• The experimental design proved effective for wearable sensor calibration.

Conclusions:

• The investigated OED is suitable for MEMS accelerometer calibration, particularly for wearable sensors.
• The G-optimal and rotatable design simplifies calibration with basic equipment.
• The study validates the practical application of OED in wearable health monitoring.