Classifying Movements in Wearables Using 3-Axis Accelerometers and Machine Learning

Being able to classify movement signatures correctly is now pretty well achieved by most wearable or phone providers. Most of the MEMS sensors offer ready-to-use functions to detect walking, running, tap, double-tap or free-fall patterns but what if you want to detect specific movements for your niche market or for your custom application?

This is a companion discussion topic for the original entry at