Cassim Ladha and colleagues at the University of Newcastle have developed ClimbAx, a plastic wristband which contains 3D motion, orientation and altitude sensors to collect key data during climbs. Afterwards, climbers download the data via a USB port. A machine learning algorithm then identifies their individual moves and makes an assessment of their skill level.
