Techniques Used To Process Accelerometer Recordings [closed]

1. How is accelerometer data processed?
2. How do you remove noise from accelerometer data?
3. Which principle is used in the design of accelerometer?

How is accelerometer data processed?

Accelerometers are wearable devices that measure accelerations of the body segment to which the monitor is attached. The signal is usually filtered and pre-processed by the monitor to obtain activity counts, i.e., accelerations due to body movement.

How do you remove noise from accelerometer data?

You can start with a low-pass filter. Ask yourself what is the maximum frequency possible (it depends of where the accelerometer is) and filter out all frequencies above that. The cut-off frequency will be a few Hz. You will need a colleague with some signal processing background to help you implement the LP filter.

Which principle is used in the design of accelerometer?

An accelerometer works using an electromechanical sensor that is designed to measure either static or dynamic acceleration. Static acceleration is the constant force acting on a body, like gravity or friction. These forces are predictable and uniform to a large extend.