To Be Sensor Fusion or No To Be Sensor Fusion, and some ideas?
Hello Everyone, I'm currently using a single MetaMotionS on the wrist to track workout exercises i.e. squats. I'm still in the infant stages of understanding math and data. So I was looking for some inspiration or ideas that would perhaps help me. As of now, I simply collect Accelerometer data, use a low pass filter, and then interpret the data. My goal is to accurately calculate how many calories a person loses when doing a certain exercise and there's math behind that as well. But, in regards to the sensor, is it best that I use Sensor Fusion modes? If so which would you recommend? To note, the tutorials stated that the sensor fusion algorithms were designed for tracking human movement... I would love any other ideas or suggestions. Thank you so much!