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An Efficient Application of Gesture Recognition from a 2D Camera for Rehabilitation of Patients with Impaired Dexterity

Lookup NU author(s): Dr Gary Ushaw, Professor Janet Eyre, Professor Graham MorganORCiD


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An efficient method for utilising a 2D camera to recognise hand gestures in 3D space is described. The work is presented within the context of a recuperation aid for younger children with impaired movement of the upper limbs on a standard Android tablet device. The hand movement recognition is achieved through attaching brightly coloured models to the child's fingers, providing easily trackable elements of the image. The application promotes repeated use of specific hand skills identified by the medical profession to stimulate and assess rehabilitation of patients with impaired upper limb dexterity

Publication metadata

Author(s): Ushaw G, Ziogas E, Eyre J, Morgan G

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 6th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2013)

Year of Conference: 2013

Publisher: INSTICC