Existing gesture recognition research is based on wearable sensor devices or wireless communication signals (Wi-Fi, RFID), as well as computer vision research methods using optical cameras and depth cameras to collect data.

For example, gestures are used in applications or video games.

The gesture is an essential tool for human–computer interaction and a significant field in wireless signal perception. Millimeter-wave radar also plays a role in human gait recognition and vital signs (respiration and heartbeat ) detection. In terms of vehicle trajectory positioning and tracking and vehicle situational awareness, the detection capability of millimeter-wave radar is significantly more robust than other sensing technologies. For example, in autopilot, the unmanned user interface employs millimeter-wave sensing detection technology. With the development of millimeter-wave radar technology, millimeter-wave technology has been applied in an increasing number of production environments. The average recognition rate of the fused gesture features in the same scene domain is 87%, and the average recognition rate in the unknown scene domain is 83.1%, which verifies the feasibility of gesture recognition across scene domains. Experimental results show that the three-dimensional CNN can fuse different gesture feature sets. Then, the gesture is trained and recognized using the three-dimensional convolutional neural network (CNN) model. Then, they are fused to represent a complete and comprehensive gesture action. Then, three kinds of hand gesture features independent of the scene domain are extracted: range-time spectrum, range-doppler spectrum, and range-angle spectrum. Furthermore, the gesture recognition results of known scenes can be extended to unknown stages after obtaining the original gesture data in different scene domains. The remaining data is used as a validation set to validate the training results. The experiments are carried out in four scene domains, using part of the data of a scene domain as the training set for training. The four scene domains are the experimental environment, the experimental location, the experimental direction, and the experimental personnel. Lingering clouds and winds at 5 to 10 mph will likely limit widespread frost development across the area, but sheltered locations may see some frost towards daybreak.This paper uses millimeter-wave radar to recognize gestures in four different scene domains. Low temperatures are forecast to fall into the middle 30s by early Sunday morning. If you have sensitive plants and vegetation, be ready to take action More Lingering clouds and winds at 5 to 10 mph will likely limit widespread frost development across the area, but sheltered locations may see some frost towards daybreak. * WHERE.Portions of central, east central, north central and northeast Illinois and northwest Indiana. * WHAT.Sub-freezing temperatures in the upper 20s to low 30s possible. FREEZE WATCH IN EFFECT FROM SUNDAY EVENING THROUGH MONDAY MORNING. However, continued cloud cover and winds of 5 to 10 mph should prevent the formation of widespread frost. Temperatures will fall into the lower to middle 30s tonight, with some locations possibly dropping just below freezing for a brief period late tonight. Near Freezing Temperatures Tonight, Followed by Below Freezing Temperatures Outside of Chicago Sunday night.

Chicago doppler radar