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:
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.
In 2017, the global 2D Gesture Recognition market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of 0.32 during 2018-2025.
Key players functioning within the global 2D Gesture Recognition market have been included in this report. Parameters such as company size, technology trends, competitive status, and new entrants have been provided for the below-listed companies. Intel
Advanced Micro Devices
Market segment by Regions/Countries, this report covers United States EU Japan China India Southeast Asia
Market segment by Type, the product can be split into
To study and forecast the market size of 2D Gesture Recognition in global market.
To analyze the global key players, SWOT analysis, value and global market share for top players.
To define, describe and forecast the market by type, end use and region.
To analyze and compare the market status and forecast between China and major regions, namely, United States, Europe, China, Japan, Southeast Asia, India and Rest of World.
To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends and factors driving or inhibiting the market growth.
To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market
To strategically profile the key players and comprehensively analyze their growth strategies.
Major Points from Tables of Content: Chapter One: Industry Overview of 2D Gesture Recognition Chapter Two: Global 2D Gesture Recognition Competition Analysis by Players Chapter Three: Company (Top Players) Profiles Chapter Four: Global 2D Gesture Recognition Market Size by Type and Application (2013-2018) Chapter Five: United States 2D Gesture Recognition Development Status and Outlook Chapter Six: EU 2D Gesture Recognition Development Status and Outlook Chapter Seven: Japan 2D Gesture Recognition Development Status and Outlook Chapter Eight: China 2D Gesture Recognition Development Status and Outlook Chapter Nine: India 2D Gesture Recognition Development Status and Outlook Chapter Ten: Southeast Asia 2D Gesture Recognition Development Status and Outlook Chapter Eleven: Market Forecast by Regions, Type and Application (2018-2025) Chapter Twelve: 2D Gesture Recognition Market Dynamics Chapter Thirteen: Market Effect Factors Analysis Chapter Fourteen: Research Finding/Conclusion Chapter Fifteen: Appendix
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