Autonomous Multiple Gesture Recognition System for Disabled People

Abstract

-The paper presents an intelligent multi gesture spotting system that can be used by disabled people to easily communicate with machines resulting into easement in day-to-day works. The system makes use of pose estimation for 10 signs used by hearing impaired people to communicate. Pose is extracted on the basis of silhouettes using timed motion history (tMHI) followed by gesture recognition with HuMoments. Signs involving motion are recognized with the help of optical flow. Based on the recognized gestures, particular instructions are sent to the robot connected to system resulting into an appropriate action/movement by the robot. The system is unique as it can act as a assisting device and can communicate in local as well as wide area to assist the disabled person.

On the Humanity Hypothesis and Management Research of the New Generation Staff——Autonomous Man

“…This organizational structure has an obvious effect on improving work efficiency, but it also restrains the initiative and creativity of employees. In order to stimulate the working motivation of "autonomous man", a relatively relaxed and humanized working environment is needed [12]. By transforming the traditional organizational structure into platform, team and inverted pyramid organization types, we can rebuild the organizational structure and provide more organic platform and management services for employees in this new era.…”

A Wearable Textile 3D Gesture Recognition Sensor Based on Screen-Printing Technology

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Body Gestures Recognition System to Control a Service Robot

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