Inertial Measurement Units (IMUs) are devices that combine multiple sensors—typically accelerometers, gyroscopes, and magnetic sensors—into a single unit. These sensors work together to collect three-dimensional spatial data over time, enabling the measurement of acceleration, angular velocity, and orientation. IMUs are widely used in wearable devices, robotics, autonomous vehicles, and navigation systems
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IMU data is typically split into time windows to create multi-variate time series datasets. These datasets are then used in machine learning models to map sensor data to specific activities or states, making IMUs essential for time series classification tasks in various domains
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