Dynamic hand gesture recognition in the wild

External Member

David Ahmedt-Aristizabal


Abstract: Humans may communicate nonverbally with hand movements carrying certain symbolic meanings, a behaviour important to abstract, formalise and use for in wild interaction. The system considers the hand detection problem in the wild and a sequence recognizer. The proposed method should balance performance and efficiency simultaneously. Dataset: adapt and develop datasets (e.g. EgoHands, FreiHAND).

Contact: David Ahmedt-Aristizabal

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