About Gesture Recognition Gesture recognition refers to the ability of a device to identify and respond to the different gestures of an individual. Gesture recognition technology reduces the usage of hardware devices such as the keyboard and mouse and has in-built cameras that capture the motion performed by an individual. The gestures captured are then passed through a number of mathematical algorithms that process the image and match it against the template stored in the database. Mathematical algorithms enable accurate gesture detection. The various mathematical algorithms used for gesture recognition include: • 3D model-based algorithm • Skeletal-based algorithm • Appearance-based models The image processing output is a set of parameters related to the image and, consecutively, the function is performed on the device. Technavio's report on the Assessment of the Gesture Recognition Market for Smart TVs shows the market to grow at a CAGR of 116.83% over the period 2014-2019. Covered in this Report This report covers the present scenario and the growth prospects of the global gesture recognition market for smart TVs for 2015-2019. Technavio's report, Assessment of... Research Beam Model: Research Beam Product ID: 250879 2500 USD New
Assessment of the Gesture Recognition Market for Smart TVs 2015-2019
 
 

Assessment of the Gesture Recognition Market for Smart TVs 2015-2019

  • Category : ICT & Media
  • Published On : July   2015
  • Pages : 43
  • Publisher : Technavio
 
 
 
About Gesture Recognition

Gesture recognition refers to the ability of a device to identify and respond to the different gestures of an individual. Gesture recognition technology reduces the usage of hardware devices such as the keyboard and mouse and has in-built cameras that capture the motion performed by an individual. The gestures captured are then passed through a number of mathematical algorithms that process the image and match it against the template stored in the database. Mathematical algorithms enable accurate gesture detection.

The various mathematical algorithms used for gesture recognition include:

• 3D model-based algorithm
• Skeletal-based algorithm
• Appearance-based models

The image processing output is a set of parameters related to the image and, consecutively, the function is performed on the device.

Technavio's report on the Assessment of the Gesture Recognition Market for Smart TVs shows the market to grow at a CAGR of 116.83% over the period 2014-2019.

Covered in this Report

This report covers the present scenario and the growth prospects of the global gesture recognition market for smart TVs for 2015-2019.

Technavio's report, Assessment of the Gesture Recognition Market for Smart TVs 2015-2019, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.

Key Regions
• Americas
• APAC
• EMEA

Key Vendors
• eyeSight Technologies
• PointGrab
• Samsung

Market Driver
• Ever Growing TV Market
• For a full, detailed list, view our report

Market Challenge
• Low Value Addition
• For a full, detailed list, view our report

Market Trend
• Time-of-Flight Camera
• 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?
01. Executive Summary
02. Market Overview
03. List of Abbreviations
04. Scope of the Report
04.1 Definitions
04.1.1 Smart TV
04.1.2 2D Gesture Recognition
04.1.3 3D Gesture Recognition
04.2 Market Size Calculation
04.3 Geographical Segmentation
04.4 Vendor Segmentation
04.5 Base Year
04.6 Common Currency Conversion Rates
05. Introduction
05.1 Gesture Recognition Technology Overview
05.1.1 Definition
05.1.2 How does it work?
05.2 History
05.3 Current Scenario
05.4 Future Perspective
06. Communication Medium with TVs
07. Market Size and Forecast
07.1 Market Growth Drivers
07.2 Market Challenges
07.3 Market Trends
08. Geographical Analysis
08.1 APAC
08.2 EMEA
08.3 Americas
09. Five Forces Analysis
09.1 Bargaining Power of Suppliers
09.2 Bargaining Power of Buyers
09.3 Threat of Rivalry
09.4 Threat of New Entrants
09.5 Threat of Substitutes
10. Vendor Landscape
10.1 Competitive Scenario
11. Other Use Cases of Gesture Recognition
12. Key Vendor Analysis
12.1 EyeSight Technologies
12.1.1 Key Facts
12.1.2 Business Overview
12.1.3 Key Investors
12.1.4 Recent Developments
12.1.5 Key Highlights
12.2 PointGrab
12.2.1 Key Facts
12.2.2 Business Overview
12.2.3 Recent Developments
12.2.4 Key Highlights
12.3 Samsung
12.3.1 Key Facts
12.3.2 Business Overview
12.3.3 Business Segmentation by Revenue 2014
12.3.4 Gesture Control Recognition in Samsung Smart TV's
13. Other Reports in this Series
List of Exhibits
Exhibit 1: Comparison of Sales of TVs, Smart TVs, and Smart TVs with Gesture Recognition 2015-2019
Exhibit 2: Market Size and Forecast 2014-2019 (Unit Shipment in millions)
Exhibit 3: Market Size and Forecast 2014-2019 ($ millions)

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