Gesture Based Robot Control

Grzejszczak, Tomasz; Mikulski, Michał; Szkodny, Tadeusz; Jędrasiak, Karol

doi:10.1007/978-3-642-33564-8_49

Cited by 24 publications

(7 citation statements)

References 1 publication

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“…This step can also be handled using infrared thermal imaging in order to segment a region characterized with the human body temperature [45,46]. Furthermore, a depth sensor or a stereoscopy system may be helpful here, as the skin region is supposed to be positioned close to the camera in the depth map [1,13,43,55].…”

Section: Gesture Recognition Processmentioning

confidence: 99%

Hand landmarks detection and localization in color images

Grzejszczak

Kawulok

Gałuszka

2015

Multimed Tools Appl

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This paper introduces a new method for detecting and localizing hand landmarks in 2D color images. Location of the hand landmarks is an important source of information for recognizing hand gestures, effectively exploited in a number of recent methods which operate from the depth maps. However, this problem has not yet been satisfactorily solved for 2D color images. Here, we propose to analyze the skin-presence masks, as well as the directional image of a hand using the distance transform and template matching. This makes it possible to detect the landmarks located both at the contour and inside the hand masks. Moreover, we performed an extensive experimental study to compare the proposed method with a number of state-of-the-art algorithms. The obtained quantitative and qualitative results clearly indicate that our approach outperforms other methods, which may help improve the existing gesture recognition systems.

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Section: Gesture Recognition Processmentioning

confidence: 99%

Hand landmarks detection and localization in color images

Grzejszczak

Kawulok

Gałuszka

2015

Multimed Tools Appl

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“…It provides access to dimensions, format and pixel data for a depth frame and allows for mapping of coordinates between skeleton frames and color frames. Within this access, object of structure DepthImagePoint can be obtained which represents X, Y and depth value in the depth frame structure [6]. Two DepthImagePoint are used -one for left hand and the second for right hand.…”

Section: A Gesture Recognitionmentioning

confidence: 99%

Gesture and voice driven mobile tribot robot using Kinect sensor

Baron

Czekalski

Golenia

et al. 2013

2013 International Symposium on Electrodynamic and Mechatronic Systems (SELM)

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“…It is likely that in the future many service robots with different sets of skills will interact with humans [1] [2]. Researchers have made efforts to develop more natural HCI, such as speech, posture and gesture recognition for controlling robotic applications [3]. Gesture-based interfaces provide an intuitive way for users to specify commands and interact with computers.…”

Section: Introductionmentioning

confidence: 99%

2D Hand Tracking Based on Flocking with Obstacle Avoidance

Chen

et al. 2014

International Journal of Advanced Robotic Systems

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Hand gesture-based interaction provides a natural and powerful means for human-computer interaction. It is also a good interface for human-robot interaction. However, most of the existing proposals are likely to fail when they meet some skin-coloured objects, especially the face region. In this paper, we present a novel hand tracking method which can track the features of the hand based on the obstacle avoidance flocking behaviour model to overcome skin-coloured distractions. It allows features to be split into two groups under severe distractions and merge later. The experiment results show that our method can track the hand in a cluttered background or when passing the face, while the Flocking of Features (FoF) and the Mean Shift Embedded Particle Filter (MSEPF) methods may fail. These results suggest that our method has better performance in comparison with the previous methods. It may therefore be helpful to promote the use of the hand gesture-based human-robot interaction method.

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Gesture Based Robot Control

Cited by 24 publications

References 1 publication

Hand landmarks detection and localization in color images

Hand landmarks detection and localization in color images

Gesture and voice driven mobile tribot robot using Kinect sensor

2D Hand Tracking Based on Flocking with Obstacle Avoidance

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