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A Gestural Recognition Interface for Intelligent Wheelchair Users

2013; IGI Global; Volume: 5; Issue: 2 Linguagem: Inglês

10.4018/jskd.2013040105

1941-6261

Ricardo Proença, Arminda Lopes, Pedro Campos,

Human Pose and Action Recognition

The authors present a new system that exploits novel human-machine interfaces based on the recognition of static gestures of human hands. The aim is to aid the occupant of a wheelchair to have access to certain objects in order to facilitate his or her daily life. The authors’ approach is based on simple computational processes and low-cost hardware. Its development involves a comprehensive approach to computer vision problems based on video image capture, image segmentation, feature extraction, pattern recognition and classification. The importance of this work will be reflected in the way that differently-able users, with the use of new models of interaction, and in a natural and intuitive way, will have their life significantly facilitated.