A paper related to zero shot learning for gesture recognition was accepted for poster presentation at 19th ACM International Conference on Multimodal Interaction held at Glasgow, Scotland, UK. ISAT’s member, Mr. Naveen Madapana presented the poster at the conference.
Brief Description: Humans tend to create the gestures on the fly and conventional machine learning systems lack adaptability to learn new gestures beyond the training stage. This problem can be best addressed using Zero Shot Learning (ZSL), a paradigm in machine learning that aims to recognize unseen objects by just having a description of them. ZSL for gestures has hardly been addressed in computer vision research due to the inherent ambiguity and the contextual dependency associated with the gestures. This work proposes an approach for Zero Shot Gestural Learning (ZSGL) by leveraging the semantic information that is embedded in the gestures.
