An Autonomous and User-Independent Hand Posture Recognition System for Vision-Based Interface Tasks

Sánchez-Nielsen, Elena; Antón-Canalís, Luis; Guerra-Artal, Cayetano

doi:10.1007/11881216_13

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…In consequence, we have chosen the skin color approach for faster processing. Instead of using a predefined color space definition, the information obtained from the face blob (see the previous section) is used to estimate the histogram-based (Swain and Ballard, 1991) skin color model for that individual (see a similar technique in Sanchez- Nielsen et al (2005)). The skin color model is employed to locate other skin-like blobs in the image, and in consequence to find the hands for a given face using coherent skin blobs and considering anthropomorphic dimensions.…”

Section: Glasses Managementmentioning

confidence: 99%

Computer vision based eyewear selector

Déniz

Castrillón

Lorenzo

et al. 2010

J. Zhejiang Univ. - Sci. C

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Abstract:The widespread availability of portable computing power and inexpensive digital cameras are opening up new possibilities for retailers in some markets. One example is in optical shops, where a number of systems exist that facilitate eyeglasses selection. These systems are now more necessary as the market is saturated with an increasingly complex array of lenses, frames, coatings, tints, photochromic and polarizing treatments, etc. Research challenges encompass Computer Vision, Multimedia and Human-Computer Interaction. Cost factors are also of importance for widespread product acceptance. This paper describes a low-cost system that allows the user to visualize different glasses models in live video. The user can also move the glasses to adjust its position on the face. The system, which runs at 9.5 frames/s on general-purpose hardware, has a homeostatic module that keeps image parameters controlled. This is achieved by using a camera with motorized zoom, iris, white balance, etc. This feature can be specially useful in environments with changing illumination and shadows, like in an optical shop. The system also includes a face and eye detection module and a glasses management module.

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Section: Glasses Managementmentioning

confidence: 99%

Computer vision based eyewear selector

Déniz

Castrillón

Lorenzo

et al. 2010

J. Zhejiang Univ. - Sci. C

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NUI/NUX of the Virtual Monitor Concept using the Concentration Indicator and the User's Physical Features

Jeon¹,

Ahn²,

Shin³

2015

Journal of Internet Computing and Services

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As growing interest in Human-Computer Interaction(HCI), research on HCI has been actively conducted. Also with that, research on Natural User Interface/Natural User eXperience(NUI/NUX) that uses user's gesture and voice has been actively conducted. In case of NUI/NUX, it needs recognition algorithm such as gesture recognition or voice recognition. However these recognition algorithms have weakness because their implementation is complex and a lot of time are needed in training because they have to go through steps including preprocessing, normalization, feature extraction. Recently, Kinect is launched by Microsoft as NUI/NUX development tool which attracts people's attention, and studies using Kinect has been conducted. The authors of this paper implemented hand-mouse interface with outstanding intuitiveness using the physical features of a user in a previous study. However, there are weaknesses such as unnatural movement of mouse and low accuracy of mouse functions.In this study, we designed and implemented a hand mouse interface which introduce a new concept called 'Virtual monitor' extracting user's physical features through Kinect in real-time. Virtual monitor means virtual space that can be controlled by hand mouse. It is possible that the coordinate on virtual monitor is accurately mapped onto the coordinate on real monitor. Hand-mouse interface based on virtual monitor concept maintains outstanding intuitiveness that is strength of the previous study and enhance accuracy of mouse functions. Further, we increased accuracy of the interface by recognizing user's unnecessary actions using his concentration indicator from his encephalogram(EEG) data. In order to evaluate intuitiveness and accuracy of the interface, we experimented it for 50 people from 10s to 50s. As the result of intuitiveness experiment, 84% of subjects learned how to use it within 1 minute. Also, as the result of accuracy experiment, accuracy of mouse functions (drag(80.4%), click(80%), double-click(76.7%)) is shown. The intuitiveness and accuracy of the proposed hand-mouse interface is checked through experiment, this is expected to be a good example of the interface for controlling the system by hand in the future.

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An Autonomous and User-Independent Hand Posture Recognition System for Vision-Based Interface Tasks

Cited by 2 publications

References 12 publications

Computer vision based eyewear selector

Computer vision based eyewear selector

NUI/NUX of the Virtual Monitor Concept using the Concentration Indicator and the User's Physical Features

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