TOF Depth Camera Based 3D Gesture Interaction System

Ahn, Yang-Keun; Park, Young-Choong; Choi, Kwang-Soon; Park, Woo-Chool; Seo, Heejin; Jung, Kwang-Mo

doi:10.1007/978-3-642-10392-6_2

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2019

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“…The demand for a large dataset is undeniable, it is because typical models of the hands have many Degrees Of Freedom (DoF). Several hand gesture recognition methods have been offered by computer vision researchers over the past decade, most of which are based on images derived from consumer depth cameras [1,6,21].…”

Section: Introductionmentioning

confidence: 99%

A Combined Method of Skin-and Depth-based Hand Gesture Recognition

Sokhib

Whangbo

2019

IAJIT

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Kinect is a promising acquisition device that provides useful information on a scene through color and depth data. There has been a keen interest in utilizing Kinect in many computer vision areas such as gesture recognition. Given the advantages that Kinect provides, hand gesture recognition can be deployed efficiently with minor drawbacks. This paper proposes a simple and yet efficient way of hand gesture recognition via segmenting a hand region from both color and depth data acquired by Kinect v1. The Inception model of the image recognition system is used to check the reliability of the proposed method. Experimental results are derived from a sample dataset of Microsoft Kinect hand acquisitions. Under the appropriate conditions, it is possible to achieve high accuracy in close to real time

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Section: Introductionmentioning

confidence: 99%