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A Framework for Real Time Gesture Recognition for Interactive Mobile Robots

R. Singh, B. Seth, U.B. Desai
2005 IEEE International Symposium on Circuits and Systems  
Interactive mobile robots are an active area of research. This paper presents a framework for designing a real-time vision based hand-body gesture recognition system for such robots.  ...  Gestures are first learned offline and then matched to the temporal data generated online in real time.  ...  Both RECOGNITION For recognition of gestures in real-time we use the software TClass developed in [13] . This software uses Weka [14] for its backend propositional learner.  ... 
doi:10.1109/iscas.2005.1465310 dblp:conf/iscas/SinghSD05 fatcat:rlvqry2mhng2pifntavoemm7ri

A Human-Robot Interaction for a Mecanum Wheeled Mobile Robot with Real-Time 3D Two-Hand Gesture Recognition

Xueling Luo, Andrea Amighetti, Dan Zhang
2019 Journal of Physics, Conference Series  
A two-hand gesture recognition method with depth camera is presented for real-time controlling the mecanum wheeled mobile robot.  ...  Under the proposed control scheme, the mobile robot system can be navigated and can be operated at the same time for achieving missions by two different groups of hand gestures.  ...  This method only provides five gestures for mobile robot control which is hard to satisfy a complex operation for real application.  ... 
doi:10.1088/1742-6596/1267/1/012056 fatcat:l75fitxa3zg3hpv75icfews5ay

Development of system model for audio visual control of mobile robots with voice and gesture commands

Snejana Pleshkova, Zahari Zahariev
2017 2017 40th International Spring Seminar on Electronics Technology (ISSE)  
There are many methods for controlling the movement of mobile robots. Some of them are based on received information from the audio and video sensors of the robot.  ...  This is very important in the cases when the human operator using both gestures and voice commands to navigate and control the robot.  ...  ACKNOWLEDGMENT This work was supported by Technical University -Sofia inner program to research projects under 172PD0035-07: "Development of methods and algorithms for recognition of gestures and speech  ... 
doi:10.1109/isse.2017.8000979 fatcat:qmfeyn7ji5bfnkxsnwey3atpga

Combined mobile robots motion control using information as voice and gesture commands from audio and thermal visual sensors

Snezhana Pleshkova, Zahari Zahariev
2017 2017 15th International Conference on Electrical Machines, Drives and Power Systems (ELMA)  
Motion is one of the main functions of the mobile robots [1]. The problem to achieve the precise control of the mobile robot motion doesn't have a unique solution.  ...  This is because there are varieties of situations of mobile robot motion: from motion with full human guidance to mobile robot motion self-control usually tracking some object or human.  ...  ACKNOLEDGMENTS This work was supported by Technical University -Sofia inner program to research projects under 172PD0035-07:" Development of methods and algorithms for recognition of gestures and speech  ... 
doi:10.1109/elma.2017.7955436 fatcat:khvne3wi35c4pomlwsexdmps6u

Mobile manipulator control through gesture recognition using IMUs and Online Lazy Neighborhood Graph search

Padmaja Vivek Kulkarni, Boris Illing, Bastian Gaspers, Bernd Brüggemann, Dirk Schulz
2019 ACTA IMEKO  
In this paper, we present and evaluate a framework for gesture recognition using four wearable Inertial Measurement Units (IMUs) to indirectly control a mobile robot.  ...  A software framework is developed to control a robotic platform through integrating our gesture recognition algorithm with a Robot Operating System (ROS), which is in turn used to trigger predefined robot  ...  [14] developed a system based on IMU and EMG sensors for controlling a mobile robot. They employed HMMs as the underlying algorithm for gesture recognition.  ... 
doi:10.21014/acta_imeko.v8i4.677 fatcat:byhj6bamlfaf7ixkgkz2ajtndi

Design of embedded gesture recognition system for robotic applications

Ainur Begalinova, Almas Shintemirov
2014 2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT)  
This paper presents a preliminary results of an embedded system design of a mobile robot platform implementing gesture recognition and control.  ...  Recent developments of system-on-chip (SOC) technologies have found a lot of applications in robotic embedded system design.  ...  Applications developed for this camera are able of extracting full body skeletons from images and tracking gestures so efficiently that these gestures can be used in real time as inputs for robotic systems  ... 
doi:10.1109/icaict.2014.7035931 fatcat:oopnux6b2nabpcik7kujdu4gme

HCI for Real world Applications

Sreeji C Sreeji C
2013 IOSR Journal of Computer Engineering  
Human-computer interaction (HCI) is necessary for different real world applications. Swarm robotics is an emerging technology in the real world.  ...  Our goal is to make swarm robot to work effectively based on the gesture given. Background noise and dynamic environments are the key issues in the gesture recognition process.  ...  HARDWARE IMPLEMENTATION Real time implementation of hand gesture recognition consists of foot-bot robot developed in swarmanoid project. The foot-bot robot developed mainly for swarm applications.  ... 
doi:10.9790/0661-1117074 fatcat:r57323qeqjanrm7ofhpa66z2oi

Cooperative sensing and recognition by a swarm of mobile robots

Alessandro Giusti, Jawad Nagi, Luca Gambardella, Gianni A. Di Caro
2012 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems  
We present an approach for distributed real-time recognition tasks using a swarm of mobile robots.  ...  A distributed consensus protocol is implemented, to allow to rapidly settle on a decision once enough evidence is available. The system is implemented and demonstrated on real robots.  ...  The system was implemented both on a swarm of real mobile foot-bot robots and in a simulation environment using real images.  ... 
doi:10.1109/iros.2012.6385982 dblp:conf/iros/GiustiNGC12 fatcat:3yqirjbekbfhtogwuvpcqvutzm

Design and Implementation of Static Hand Gesture Recognition System for Device Control [chapter]

N. S. Chethana, Divyaprabha, M. Z. Kurian
2016 Emerging Research in Computing, Information, Communication and Applications  
Using the Leap Motion infrared gesture sensor for real-time hand motion acquisition, the computer's PC software Processing captures the gestures by calling the relevant library functions, and transmits  ...  Remote control robots can replace humans in the harsh environment, so the development potential is huge. This paper designed a robotic arm control system built on a mobile platform.  ...  Software design and implementation Robotic gesture control The robot arm gesture recognition control uses the development kit kit for Windows environment provided by Leap Motion official website: SDK  ... 
doi:10.1007/978-981-10-0287-8_54 fatcat:qllgdt7lajd4tjv3jcqopjplxq

Max-pooling convolutional neural networks for vision-based hand gesture recognition

Jawad Nagi, Frederick Ducatelle, Gianni A. Di Caro, Dan Ciresan, Ueli Meier, Alessandro Giusti, Farrukh Nagi, Jurgen Schmidhuber, Luca Maria Gambardella
2011 2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)  
Our goal is a real-time hand gesture-based HRI interface for mobile robots.  ...  Experiments with mobile robots using an ARM 11 533MHz processor achieve real-time gesture recognition performance.  ...  Experiments with mobile robots using an ARM 11 533MHz processor achieve real-time gesture recognition performance with a classification rate of 96%.  ... 
doi:10.1109/icsipa.2011.6144164 dblp:conf/icsipa/NagiDCCMGNSG11 fatcat:aawdrdw6crgw3il3x7iu44abgq

Integrating the Kinect camera, gesture recognition and mobile devices for interactive discussion

Vincent Tam, Ling-Shan Li
2012 Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2012  
In additional to the Kinect camera, mobile devices such as the smartphones readily integrated with motion sensors have been used for different real-time control tasks like the remote control of robots.  ...  As a result, there are increasing interests to apply the Kinect camera for various real-life applications including the control of squirt guns for outdoor swimming pools.  ...  to decode the QR code into a webpage link to install a mobile app for turning the mobile device into a real-time control device for interactive presentation.  ... 
doi:10.1109/tale.2012.6360362 fatcat:pe3eutjnqvganotxs5b4uem5ae

Human-swarm interaction through distributed cooperative gesture recognition

Alessandro Giusti, Jawad Nagi, Luca M. Gambardella, Stéphane Bonardi, Gianni A. Di Caro
2012 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction - HRI '12  
However, real-time vision-based recognition of hand gestures is a challenging task for the single foot-bot, due to its limited processing power and field of view.  ...  As a first step, we considered human-swarm interaction, and selected the use of hand gestures to let a human communicate with a swarm of relatively simple mobile robots.  ...  This research was supported by the Swiss National Science Foundation (SNSF) through the National Centre of Competence in Research (NCCR) Robotics (www.nccr-robotics.ch).  ... 
doi:10.1145/2157689.2157818 dblp:conf/hri/GiustiNGBC12 fatcat:7mxqalusbrccbpn2sju37r7lvm

Robotic Control using Hand Gesture Recognition baesd on FFT Analysis

Akshay Agarwal, Neha Singh, G. C. Nandi
2014 International Journal of Signal Processing, Image Processing and Pattern Recognition  
Distance based techniques were used for gesture classification. The real time simulation software WEBOTS is used for performing the classified gesture.  ...  The study of gesture is still in its early childhood, gesture is present early in evolution, and is used to communicate before a child has the ability to enunciate.  ...  Similarities of the hand shape in gesture; this paper aims to develop a real time hand gesture recognition system.  ... 
doi:10.14257/ijsip.2014.7.2.27 fatcat:ycf2xw5zvzbjfh5kp64i5rndzu

Python-based Raspberry Pi for Hand Gesture Recognition

Ali A., Sarah A.
2017 International Journal of Computer Applications  
The recognized gestures are used to control the motion of a mobile robot in real-time. The mobile robot is built and tested to prove the effectiveness of the proposed algorithm.  ...  The essential aim of hand gesture recognition system is to establish a communication between human and computerized systems for the sake of control.  ...  In the test phase, each of the five gestures is tested at run time of the mobile robot that operates 30 times.  ... 
doi:10.5120/ijca2017915285 fatcat:noqsgmrt2zbudi2xxex77qd75e

Towards Real-Time Physical Human-Robot Interaction Using Skeleton Information and Hand Gestures

Osama Mazhar, Sofiane Ramdani, Benjamin Navarro, Robin Passama, Andrea Cherubini
2018 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)  
A complete pipeline for skeleton extraction and hand gesture recognition is developed and employed for real-time physical humanrobot interaction, demonstrating the promising capability of the designed  ...  A reliable 3D skeleton extraction is essential for a robot to predict the intentions of the operator while he/she moves toward the robot or performs a gesture with a specific meaning.  ...  In [10] , the authors propose a HRI system for navigation of a mobile robot using a Kinect.  ... 
doi:10.1109/iros.2018.8594385 dblp:conf/iros/MazharRNPC18 fatcat:waxewvga3bduzccgv4majhrihy
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