The interpretation of human motion by the computing device is gaining popularity in different sectors including healthcare, automotive, gaming, consumer electronics, etc. Gesture recognition allows the device to capture gestures by human using mathematical algorithms. Gesture recognition has now moved on the 3D version from 2D version. Manufacturers are also focusing on voice recognition, facial recognition and eye tracking. The automobile industry is working on gesture recognition technology. This will allow drivers to manage car and perform a specific task with a gesture, this may also improve car safety. However, development and deployment of gesture recognition technology is expensive.
Modern cars are being developed that can be operated with hand-based gesture recognition. This can help the driver in multitasking. Manufacturers are using various sensors to recognize gesture such as data gloves, Radio Frequency Identification (RFID), camera, etc.
According to the upcoming report by Future Market Insights (FMI), owing to the high features, gesture recognition technology is gaining popularity. It is also being introduced in entertainment and gaming industry. While automation in various industries presents immense opportunity during 2017-2027. The gesture recognition market is anticipated to witness rapid growth in retail, defense, automotive and transit sectors. North America is the biggest market in gesture recognition, due to increasing automation and rapid adoption of smart technologies across various industries.
Moreover, Asia-Pacific is also projected to witness high growth in gesture recognition market, with increasing demand for smartphone and smart technologies. Meanwhile, North America defense and aerospace sector will also see the rise in adoption of gesture recognition technology.
New technologies and industries using gesture recognition
Human-computer interaction technology is about to replace the computer centered technology in the coming years. With the development of recognition and image processing technology, various industries are moving towards development of human-computer interaction technologies. However, complexity and uncertainty of hand and face gestures, gesture recognition is emerging as the biggest challenge. Hence, research is still going on to make it simple to use.
Various research and studies are being conducted to recognize gestures and allow easy communication between human and machine. For instance, the mono-vision based technique is becoming a popular technique for hand gesture recognition. The research paper has also been published that focuses on mono-vision color-counter based technology for hand gesture recognition. This gesture recognition technique uses color band based segmentation technique. Skin color segmentation is done where skin color region is identified and separated from the image background. Various models are being used for skin color detection such as RGB model, HIS, YCrCb, etc.
The automotive industry is also focusing on including gesture recognition technology. Hence, various studies are being carried out on hand-based gesture recognition in a vehicular application. One of the recent studies has proposed new hand-based gesture recognition in vehicles using Impulse Radio-Ultra Whiteband (IR-UWB) radar. This new technology works against direction or distance and responds only to the defined gesture while ignoring meaningless gestures. Such hand-based gesture recognition technology can emerge as the key in future automobile interfaces.
Moreover, manufacturers are making huge investments in research and development of gesture recognition system in various industries.
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