While hand gestures are intuitive for humans, it can be a difficult concept to convey to a machine. Given the increasingly complex functionality provided by modern prosthetic hands, machine learning-based pattern recognition of hand gestures has gained popularity over the last decade. In particular, it enables more complex movement through more degrees of freedom. However,… Continue reading Comparing teaching strategies for machine learning-based prosthesis control
Vaynee Sungeelee is a PhD student at ISIR, her upervised by Baptiste Caramiaux, is centred around the use of Interactive Reinforcement Learning to help humans acquire or restore motor skills.