Gesture Recognition Technology

Gestures and gesture recognition techniques This section describes gesture and gesture recognition requirements. We will focus on the strengths and weaknesses of each solution and describe the two main solutions, glove based solutions, and camera - based or vision - based solutions for gathering the data needed to perform the identification. Gathering gesture and gesture data The first step in using gestures in computer applications is to gather raw data. Next, analyze the raw data using various recognition algorithms (see Section 3), extract the meaning and context from the data, and execute the task in the application.

Connect to the computer using human gestures. It is usually movement of the hand. With gesture recognition technology, the camera reads the movement of the human body and sends the data to the computer controlling the device or application using the gesture as input. For example, if a gesture is entered via a computer, a person clapping in front of the camera can make a sound that pops are struck together. One-way gesture recognition is used to enable people with physical disabilities, such as sign language interpreters, to communicate with computers. This technology may also eliminate input devices such as joysticks, mice, keyboards, etc. and change the way users interact with the computer.

The new gesture recognition technology uses motion as an input command to facilitate user control of various devices such as computers, mobile phones, navigation devices, and notebook computers, thereby improving the user's convenience . The posture of the body is read by the camera or special gloves. The emergence of gesture recognition technology in the automotive, consumer electronics, health care, games and automation fields is driving market growth. Household appliances account for the largest share of the world's gesture recognition market. New technologies such as image sensors, ultrasound, interactive, 3D technology, display capacitive sensors, infrared and electric fields are widely used in several home electronics for human gesture detection, and in the near future market It is expected to lead. In particular, gesture tracking and 3G technology are seeking high scores on the market.

The global gesture recognition market is divided into touchless gesture recognition and touch based gesture recognition by technology. In addition, the touchless gesture recognition technology segment is divided into ultrasound (3D gesture) and infrared 2D array. Further, the touch gesture recognition unit includes a gyroscope, a combination sensor, and an accelerometer. The global gesture recognition market is also used in games, home appliances, business centers, hotels, aerospace and defense, automotive, medical centers, games and education centers. In addition, the global gesture recognition market is subdivided into North America, Asia Pacific region, Europe, Middle East and Africa, and South America.