I am performing an experiment using force sensors and IMUs to gather readings of orientation from a certain motion performed by the human body.
The sensor does not know when and what that particular muscle is doing. There are no video cameras to record this action. I have to design an experiment which is going to sync these sensor signals corresponding to the activity done by the body. Suppose a person is standing among takes an object that has the IMU(Inertial Measuring Unit) and then sits down and stands up and repeats this a couple of times, how do I identify from the IMU readings whether he is sitting or standing at that particular instant in the output signal?
1. Is there a statistical way of conducting this?
2.Or is there a way in which I can make the person sit and take individual readings, then stand and take individual activity readings then make the person sit and stand couple of times and match the signal from the individual activity readings?
3. Or give a time gap of 5 seconds or so between each activity and identify it that way? (how is the error sensitivity in this case)
NOTE-this is not exactly what I am doing, but consider hypothetically that I can take readings individually for each activity alone.
What software are you using to collect the data? You should be able to throw a flag into the recordings that you could use to mark when the person is doing the task you are asking them to perform to make it easier to process afterwards.
Should this not be the case, the IMU will give you an orientation, depending on placement you could use it to tell if a person is sitting or standing based on the acceleration recorded due to gravity. However, this assumes you are placing an IMU somewhere on the femur.
Im not sure whats your aim from this reading but why you don't try pressure sensors
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