Gesture recognition technology

Gesture types[ edit ] In computer interfaces, two types of gestures are distinguished: In contrast, offline gestures are usually processed after the interaction is finished; e.

Gesture recognition technology

Gesture recognition is the conversion of a hominid movement or gesture using a mathematical algorithm and enables any person to interrelate with the machine in the absence of any physical devices, as an input mechanism to perform desired actions in a system.

The technology co-relates human gestures and movements, such as movement of hands, fingers, arms, head or an entire body.

Gesture Recognition Technology

It allows the user to operate and control devices merely with their movements. For instance, moving the cursor just by pointing a finger. This makes input devices such as touch-screens, keyboards, and mouse redundant.

Gesture recognition technology has improved the usability of several devices and has occasioned in the progression of many innovative applications in various industries. Hand gesture recognition is one of the advanced research fields which provides a Gesture recognition technology for human-machine interaction.

Hand gesture recognition offers an intelligent method for human-computer interaction HCI. Its application ranges from medical rehabilitation to consumer electronics control.

Gesture recognition technology

Different types of sensing techniques are used to identify various hand gestures. The sensing techniques are used to obtain multiple signals for the pattern recognition.

Search form Gestures can be categorized to fit into the following application domain classifications:

Different kinds of prototypes developed are easy to use and understand, and it is more cost-effective than the traditional interface devices such as the keyboard and the mouse.

Hand gestures are very expressive with the purpose of interacting with the environment or communicating any information. The high competition is leading to a large number of mergers and acquisitions in the industry. For instance, Intel Corp. The key players in the market include Apple, Intel, Microsoft, and Google.

Along with global giants, the homegrown players are also showing tremendous growth and attracting big investors.

This scenario has taken the competition to a whole different level. Industry Insights Increasing digitization across various industries is driving the market. Ease of adoption due to low technical complexity for end users has made consumer electronics industry to gain highest market share.

Many other industries also started using this technology. For instance, automotive industry, healthcare industry rigorously adopted to gesture recognition technology.

This technology helps user to interact with computers and other devices with ease and enhances human-machine interaction. It is also useful for physically disabled people in order to operate devices. The technological advancement and ease of use have gained gesture recognition technology global acceptance.

The increase in awareness about regulations and driver safety has increased the demand for gesture recognition systems in the automobile industry. Similarly, increasing customer fondness for application based technologies helping this market to grow. Manufacturers and Original Equipment Manufacturers OEMs are focusing on improving user experience while driving so they are trying to reduce driver distraction factors with the help of gesture recognition technology.

Gesture recognition technology

Increasing digitization across various industries is forcing manufacturers to adopt innovative techniques in order to attract a large customer base.

Variety of input devices are used to recognize gestures with the help of images or videos.The gestures of the body are read by a camera instead of sensors attached to a device such as a data glove.

In addition to hand and body movement, gesture recognition technology also can be used to read facial and speech expressions (i.e., lip reading), and eye movements. Gesture recognition is the ability of a device to identify and respond to the different gestures of an individual.

Most gesture recognition technology can be 2D-based or 3D-based, working with the help of a camera-enabled device, which is placed in front of the camera-enabled device beams an invisible infrared light on the individual, which is reflected back to the camera and.


Through the use of depth cameras, ArcSoft 3D hand gesture recognition technology can not only achieve 3D imaging of the human hand, but also recognize and track hand gestures.

With accurate depth information provided by this technology, users are able to interact with machines in a more natural manner. More and more electronic devices are being made with gesture recognition features. As the name suggests, gesture recognition is designed to recognize the physical movements, or “gestures.

The gestures of the body are read by a camera instead of sensors attached to a device such as a data glove. In addition to hand and body movement, gesture recognition technology also can be used to read facial and speech .

Now attempts are being made to make the man-machine interaction as natural as possible. Fulfilling this requirement is the popular touch screen technology which is soon expected to be replaced by the gesture recognition technology.

Hand Gesture Recognition