A gesture recognition system (GRS) is comprised of a gesture, gesture-capture device
(sensor), tracking algorithm (for motion capture), feature extraction, and classification …

The wide interest of research and industry in the human–robot interaction (HRI) related
topics is proportional to the increased productivity and flexibility of the production lines, as it …

Most of industrial robots are still programmed using the typical teaching process, through the
use of the robot teach pendant. In this paper is proposed an accelerometer-based system to …

We present a gesture recognition system for recognizing hand movements in near realtime.
The system uses a infra-red time-of-flight range camera with up to 30 Hz framerate to …

Purpose–Most industrial robots are still programmed using the typical teaching process,
through the use of the robot teach pendant. This is a tedious and time‐consuming task that …

We present a systematic study on the recognition of 3D gestures using spatially convenient
input devices. Specifically, we examine the linear acceleration-sensing Nintendo Wii …

Most of the robotic arm is controlled by using accelerometer sensor with an artificial
intelligent algorithm. This paper is proposed a gesture recognition based 6DOF robotic arm …

This paper reviews some major trends and the recent evolution in the field of hand gesture
recognition. While providing a non-exhaustive inventory of the huge amount of past research …

Vision-based hand gesture recognition is an area of active current research in computer
vision and machine learning. Being a natural way of human interaction, it is an area where …

This paper presents a novel and simple hand gesture recognition method to be used in
rehabilitation of people who have mobility issues particularly stroke patients and patients …