Human-machine interaction has reduced the gap between the two and developed a more natural and intuitive interaction. Humans have come a long way from controlling machines through switches fitted on them to remote controls, and currently, through smartphones. In the future, it will be through natural gestures. Gesture control is by far the most natural form of controlling a device.
Gesture recognition technology interprets human motions using computer algorithms. Human motions can be movements of hands, fingers, arms, head, or the entire body. Gestures are used as an input mechanism, aimed at replacing old-fashioned input mechanisms such as keyboards, mouse devices, remote controls, and various other forms of control devices.
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Covered in this report
The report covers the present scenario and the growth prospects of the global gesture recognition market for emerging applications for 2016-2020. To calculate the market size, Technavio considers the unit shipment of gesture recognition products in the following application segments: automotive and consumer electronic devices.
The market is divided into the following segments based on geography:
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Global Gesture Recognition Market for Emerging Applications 2016-2020, 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 over the coming years. The report also includes a discussion of the key vendors operating in this market.
- eyeSight Technologies
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