A hand gesture recognition system based on local linear embedding

Teng, Xiaolong; Wu, Bian; Yu, Weiwei; Liu, Chongqing

doi:10.1016/j.jvlc.2005.04.003

Cited by 54 publications

(22 citation statements)

References 10 publications

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“…In Equation (8) (8) As for density, the ratio of the segmented hand region and the least enclosing rectangle of the region is calculated. Density represents how dense a region is, and is defined as shown in Equation (9) [25]. In Equation (9), if this feature value is 1, it means that the density of the hand region is the highest.…”

Section: Hand Gesture Analysismentioning

confidence: 99%

User-Friendly Interface Control Using Segmented Skin Areas

Jang¹,

Lee²

2018

IJAST

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Section: Hand Gesture Analysismentioning

confidence: 99%

User-Friendly Interface Control Using Segmented Skin Areas

Jang¹,

Lee²

2018

IJAST

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“…The vision based input channels used in interactive systems include facial expression [15,16], gestures [17][18][19][20][21], head movement [22], the whole body action [23][24][25][26], eye gaze [27], and etc. Skin color [28,29], shape of the head, facial features [30,31] are often used to recognize and locate the faces.…”

Section: Input and Output Modalitiesmentioning

confidence: 99%

A Review of Multimodal Interaction

Liang¹,

Liang²,

Xue-qian³

et al. 2016

Advances in Computer Science Research

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Abstract-Due to the contribution to a more natural and efficient human-computer interaction style, multimodal interactive systems are becoming more and more commonplace and cover a wide range of applicants. Therefore, there seems to be an urgent need for an introduction to related concepts of multimodal interaction and an analytical review of the-state-of-the-art. In this paper, we try to present a brief review of some of the significant aspects in multimodal interaction. At first, the definition and advantages of multimodal systems are discussed, and then a brief development history of multimodal interaction is introduced. Next, we touch on the recent development in the breadth of work on input/output modalities and fusion engine. Finally, we provide a personal outlook for the research of multimodal interaction. It is our hope for this paper to provide a picture of the contemporary state of multimodal interaction research and a meaningful outlook for this research field.

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“…Thanks to the proposed normalization (see Section 5.4) and the representativity of the chosen arm model (see Section 5.1) the system is robust to variations in the distance to the camera, in the height of the user and in the size of arm and hand. The use of TOF technology, apart from providing an accurate segmentation robust to low illumination conditions (not as in color camera based systems [32,4,28,38,33]), offers a representative point of the hand motion, the closest one to the camera, with no need of application of traditional segmentation techniques.…”

Section: Related Workmentioning

confidence: 99%

Real-time Motion-based Hand Gestures Recognition from Time-of-Flight Video

Molina

Pajuelo

Martínez

2015

J Sign Process Syst

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Esta es la versión de autor de la comunicación de congreso publicada en: This is an author produced version of a paper published in: Abstract This paper presents an innovative solution based on Time-Of-Flight (TOF) video technology to motion patterns detection for real-time dynamic hand gesture recognition. The resulting system is able to detect motion-based hand gestures getting as input depth images. The recognizable motion patterns are modeled on the basis of the human arm anatomy and its degrees of freedom, generating a collection of synthetic motion patterns that is compared with the captured input patterns in order to finally classify the input gesture. For the evaluation of our system a significant collection of gestures has been compiled, getting results for 3D pattern classification as well as a comparison with the results using only 2D information.

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A hand gesture recognition system based on local linear embedding

Cited by 54 publications

References 10 publications

User-Friendly Interface Control Using Segmented Skin Areas

User-Friendly Interface Control Using Segmented Skin Areas

A Review of Multimodal Interaction

Real-time Motion-based Hand Gestures Recognition from Time-of-Flight Video

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