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
New Interfaces for Musical Expression (NIME) is the primary conference in musical interactions and interfaces. NIME 2023 takes place in Mexico from May 31 to June 3. Check out the conference website: https://www.nime2023.org/home This year, we have two publications that will be presented at the conference, both by Théo Jourdan, post-doctoral researcher at ISIR, part… Continue reading NIME 2023
Théo Jourdan joined hold a PhD in Computer Science from INSA Lyon. His PhD focused on Privacy and transparency in learning systems for healthcare. Théo joined the project for a 18-month post-doc, starting Septembre 1st, 2023, where he will lead research in machine learning, music, and human-computer interaction. He will conduct fieldwork on the use… Continue reading Théo joined as Post-Doc
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.