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.
The report on 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.
The 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.
Purchase a copy of the report at http://www.sandlerresearch.org/purchase?rname=39728 .
- eyeSight Technologies
- Ever Growing TV Market
- Low Value Addition
- Time-of-Flight Camera
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?
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