eprintid: 3924
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/39/24
datestamp: 2023-11-09 15:52:12
lastmod: 2023-11-09 15:52:12
status_changed: 2023-11-09 15:47:55
type: conference_item
metadata_visibility: show
creators_name: Hafiane, S.
creators_name: Salih, Y.
creators_name: Malik, A.S.
title: 3D hand recognition for telerobotics
ispublished: pub
keywords: Information science; Man machine systems; Robotic arms; Three dimensional, Dexterous hands; Hand gesture; Human Machine Interface; Intuitive controls; Natural interactions; Remote manipulation; SURF; Tele-robotics, Industrial robots
note: cited By 4; Conference of 2013 IEEE Symposium on Computers and Informatics, ISCI 2013 ; Conference Date: 7 April 2013 Through 9 April 2013; Conference Code:100351
abstract: This paper presents a system for recognition of 3D hand gestures for the purpose controlling and manipulating robots. This objective of the work is to allow the robot to mimic or imitate the recognized gesture which can be used for remote manipulation of a robotic arm to perform complex task (teleoperatoin). Telerobotics systems rely on computer vision to create the human-machine interface. In this project, hand tracking was used as an intuitive control interface because it represents a natural interaction medium. The system tracks the hand of the operator and the gesture it represents, and relays the appropriate signal to the robot to perform the respective action in real time. The study focuses on two gestures, open hand, and closed hand, as the NAO robot is not equipped with a dexterous hand. SURF features points have been used to represent the hand gesture and face to hand distance was used to gauge the depth of the hand. This system has been test with Aldebaran NAO robot for performing different gesture imitation task for picking and placing objects. © 2013 IEEE.
date: 2013
publisher: IEEE Computer Society
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886514966&doi=10.1109%2fISCI.2013.6612390&partnerID=40&md5=a2bb8466457addfc4e0017d7bd1330aa
id_number: 10.1109/ISCI.2013.6612390
full_text_status: none
publication: IEEE Symposium on Computers and Informatics, ISCI 2013
place_of_pub: Langkawi
pagerange: 132-137
refereed: TRUE
isbn: 9781479902101
citation:   Hafiane, S. and Salih, Y. and Malik, A.S.  (2013) 3D hand recognition for telerobotics.  In: UNSPECIFIED.