What is a Gesture Recognition System?

In computer science, gesture recognition is a topic that recognizes human gestures through mathematical algorithms. Gesture recognition can come from the movement of various parts of the human body, but generally refers to the movement of the face and hands. Users can use simple gestures to control or interact with the device to let the computer understand human behavior. Its core technologies are gesture segmentation, gesture analysis, and gesture recognition.

Gesture recognition is a topic in computer science and language technology, aimed at

The initial gesture recognition mainly used machines and equipment to directly detect the angles and spatial positions of the joints of the hands and arms. These devices mostly connect the computer system and the user with each other through wired technology, so that the user's gesture information is transmitted to the recognition system completely and without errors, and their typical devices such as data gloves. The data glove is composed of multiple sensor devices, and through these sensors, information such as the position of the user's hand and the direction of the finger can be transmitted to the computer system. Although the data glove can provide good detection results, its application in common areas is expensive. Later, the optical marking method replaced the data glove to wear the optical mark on the human hand, and the changes in the position of the human hand and the finger can be transmitted to the system screen through infrared rays. This method can also provide good results, but still requires more complicated equipment .

Although the intervention of external devices improves the accuracy and stability of gesture recognition, it masks the natural expression of gestures. For this reason, vision-based gesture recognition methods have emerged as the times require. Visual gesture recognition refers to the capture of video capture devices. The image sequence containing gestures is processed by computer vision technology to recognize gestures.

Regardless of whether the gesture is static or dynamic, the recognition order of the gesture first needs to perform image acquisition, hand detection and segmentation gesture analysis, and then perform static or dynamic gesture recognition.

Gesture recognition is an important part of human-computer interaction, and its research and development affect the naturalness and flexibility of human-computer interaction. At present, most researchers pay attention to the final recognition of gestures, usually simplify the background of gestures, and use the algorithm under study to segment gestures in a single background, and then use common recognition methods to express the meaning of gestures. It is analyzed through the system, but in real applications, gestures are usually in complex environments, such as: too much light or too dark, there are many gestures, and there are various complex background factors such as different distances between gestures and collection devices. These problems are currently unsolved, and it will be difficult to solve them in the future. Therefore, researchers need to solve the problems currently envisioned in specific environments, and then use a combination of methods to achieve gesture recognition suitable for different complex environments. , Thereby contributing to the research on gesture recognition and future humanized human-computer interaction. ^[2]