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175results about How to "Balance weight" patented technology

Lifting device for supporting C-shaped or U-shaped arm and medical X-ray machine thereof

The invention provides a lifting device for supporting a C-shaped or U-shaped arm of an X-ray machine. The lifting device comprises an outer shell, an inner shell and a gas spring arranged in the inner shell, wherein the inner shell is arranged inside the outer shell and can slide up and down inside the outer shell, and the C-shaped or U-shaped arm is connected to the inner shell; one end of the gas spring is connected to the top of the inner shell, and the other end of the gas spring penetrates through the bottom of the inner shell and is connected to the bottom of the outer shell; and the gas spring stretches and retracts to drive the inner shell to slide up and down. An electromagnetic lock is arranged inside the inner shell, comprises a sliding sheet, and is used for locking or releasing the inner shell through the stretching and retracting of the sliding sheet. According to the invention, by means of the low-cost gas spring and the matched electromagnetic lock and by utilizing the characteristic of the gas spring, the C-shaped or U-shaped arm can reach any position just by slightly pushing or pulling the inner shell, and thus, the operation of a doctor is facilitated; meanwhile, the gas spring can be used for effectively balancing the weight of the C-shaped or U-shaped arm, no noises are generated in a work process, so that the safety and the stability of the lifting of the C-shaped or U-shaped arm are effectively enhanced. The lifting device provided by the invention also has the advantages of simple structure and low cost.
Owner:GE MEDICAL SYST GLOBAL TECH CO LLC

Frame rate enhanced gait identification method based on generative adversarial network and device thereof

The invention belongs to the field of computer vision, and particularly relates to a frame rate enhanced gait identification method based on a generative adversarial network and a device thereof. Themethod and the device aim to reduce noise of an identified image and improve accuracy in gait identification. The method comprises the steps of generating a frame between two continuous frames in a data set through a generative adversarial network, combining the generated frame with an original frame for calculating a gait energy diagram, and then identifying an individual through a gait energy diagram identification network. The generative adversarial network in the method can remarkably improve the frame rate of the original image sequence, and furthermore the generated image has relativelyhigh robustness to noise, thereby performing a noise reduction function on the gait energy diagram. Furthermore a novel boundary ratio loss function is added into the gait energy diagram identification network, thereby well balancing magnitudes between different loss function and greatly improving model training stability. The method and the device can remarkably improve gait identification rate on the condition of cross visual angle or no cross visual angle.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
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