JSB Market Research : Global 2D Gesture Recognition Market 2015-2019

Market-Research
2D Gesture Recognition Market

About 2D Gesture Recognition

Gesture recognition is a mathematical calculation of interactions performed by a human being via a computing device. The interactions performed are passed through a number of mathematical algorithms before the computing device interprets it. Gesture recognition involves:

• Facial recognition

• Voice recognition

• Eye tracking

• Lip movement

Gesture recognition enhances efficiency and ease of usage for the underlying logical design of a stored program. Gesture recognition avoids the usage of keyboards and mouse for any action. It can be classified as 2D and 3D gesture recognition technologies. 2D gesture recognition makes use of a camera-enabled device. In gesture recognition, an invisible infrared light is beamed on the individual standing in front of the camera. This light is then reflected back to the camera, from where it is sent to a gesture recognition IC. The IC, with the aid of gesture recognition software, then creates a depth map of the images received and responds appropriately to the movements in front of the camera. 2D gesture recognition offers a user-friendly environment between a device and an individual. It is a cost-effective gesture recognition technique for interaction.

TechNavios analysts forecast the Global 2D Gesture Recognition market to grow at a CAGR of 32.12 percent over the period 2014-2019.

Covered in this Report

This report covers the present scenario and the growth prospects of the Global 2D Gesture Recognition market for the period 2015-2019. The report considers 2014 as the base year and provides data for the trailing 12 months. To calculate the market size, the report considers the revenue generated from the sale of the 2D gesture recognition solutions.

The Global 2D Gesture Recognition market is segmented on the basis of the following:

• End-users: Automotive, Consumer Electronics, and Transit

• Geography: Americas, EMEA, and APAC

It also presents the vendor landscape and a corresponding detailed analysis of the top five vendors in the Global 2D Gesture Recognition market. In addition, the report discusses the major drivers that influence the growth of the market. It also outlines the challenges faced by the vendors and the market at large, as well as the key trends that are emerging in the market.

TechNavios report, the Global 2D Gesture Recognition Market 2015-2019, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the Americas, the APAC region and the EMEA region; it also covers the market landscape and its growth prospects in the coming years. The report includes a discussion of the key vendors operating in this market.

Browse Full Report@ http://www.jsbmarketresearch.com/technology/r-global-2d-gesture-recognition-market-2015-2019-161846O

 

 Key Regions

• Americas

• APAC

• EMEA

Key Vendors

• Cognitec Systems

• CogniVue

• eyeSight Mobile Technologies

• PointGrab

Other Prominent Vendors

• AMD

• Apple

• Cross Match Technologies

• Elliptic Labs

• Gesture Technologies

• Irisguard

• Intel

• Microchip Technology

• Pebbles

• Pyreos

• Qualcomm

• Thalmic Labs

Market Driver

• Increasing Demand of Gesture Recognition in Healthcare Sector

• For a full, detailed list, view our report

Market Challenge

• Low Operating Range of Gesture Recognition Solutions

• For a full, detailed list, view our report

Market Trend

• Increasing Demand for Gesture-enabled Electronic Devices

• For a full, detailed list, view our report

Key Questions Answered in this Report

• What will the market size be in 2019 and what will the growth rate be?

• What are the key market trends?

• What is driving this market?

• What are the challenges to market growth?

• Who are the key vendors in this market space?

• What are the market opportunities and threats faced by the key vendors?

• What are the strengths and weaknesses of the key vendors?

Table of Contents

01. Executive Summary

02. List of Abbreviations

03. Scope of the Report

03.1 Market Overview

03.2 Product Offerings

04. Market Research Methodology

04.1 Market Research Process

04.2 Research Methodology

05. Introduction

06. Market Description

06.1 Introduction to Gesture Recognition

06.1.1 Working of Gesture Recognition Technology

06.1.2 Input devices for Gesture Recognition

06.2 Types of Gestures

06.2.1 Hand Gestures

06.2.2 Body Gestures

06.3 Evolution of Gesture Recognition

06.3.1 1919: Etherphone/Theremin

06.3.2 Mid-1970s: Videoplace

06.3.3 1993: ALIVE System

06.3.4 2003: EyeToy

06.3.5 2005: Canesta EP DevKit

06.4 Description of Gesture Recognition System

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