A Gestural Recognition Interface for Intelligent Wheelchair Users

Abstract

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.

An independent shopping experience for wheelchair users through augmented reality and RFID

“…Proença et al [26] developed a system that allows wheelchair occupants to gain access to certain objects present in their vicinity by using computer vision techniques and pattern recognition. An interesting work has been presented by Caon et al [10] that proposes different interaction possibilities for wheelchair users through gestures and smartphones.…”

Gyroscope explorer terrain angles classification

“…Among them is a handicapped assistive wheelchair product in conjunction with smart mobile. A lot of research including but not limited to voice recognition, gesture, iris recognition and wheelchair movement has been done [7][8] [9]. A wheelchair is developed to maintain equilibrium of a seat in conjunction with the smart mobile device.…”

Using Augmented Reality and Internet of Things to improve accessibility of people with motor disabilities in the context of Smart Cities

“…It allows wheelchair shoppers to remain on the wheelchairs while shopping. Proença et al present a system [19] that allows wheelchair users to get access to certain objects present in their vicinity by using computer vision techniques and pattern recognition. While the authors present an interesting system and scenario in order to liberate the motor disabled from dependency, it does not provide a sufficient application in terms of retail and shopping where many similar stock in/ stock out products become impossible to identify with computer vision techniques.…”