Recognizing the intensity of strength training exercises with wearable sensors
We propose a hierarchical algorithm for recognizing strength training exercises. Two levels of Support Vector Machines recognize exercise types and intensity. We achieve 85% type recognition accuracy and 6% intensity prediction error. The algorithm is suitable for use with resource constrained hardware.
strength training machine learning werable sensors accelerometers