5 results about "Control posture" patented technology

The invention discloses a gesture recognition intelligent nursing bed system based on deep learning and a control method, and the system comprises a nursing bed body, an upper computer and a lower computer. The upper computer comprises an image acquisition module, a gesture recognition main control module and a physiological monitoring module; the lower computer comprises a control module and an execution mechanism; the method comprises the steps of gesture image acquisition and preprocessing; carrying out gesture recognition by using a YOLOv12 deep learning model; mapping and transmitting gesture instructions; adjusting the posture of the nursing bed; and monitoring and transmitting physiological parameters. Gesture control, posture adjustment and real-time physiological monitoring are achieved through deep learning, the convenience, safety and intelligent level of the nursing process are improved, and the diversified requirements of nursing are met.

The application discloses a surgical robot control method, device, equipment and medium, and is applied to the field of medical instruments. The surgical robot control method provided by the application first acquires handle control posture corresponding values at each preset time, wherein the preset times are a plurality of continuous collection times close to the current time, calculates the difference between the handle control posture corresponding values at each two adjacent times, adds up the weighted each difference value to obtain a reference value, and then determines whether to lock the surgical robot according to the relationship between the reference value and a preset value. A method capable of detecting whether a human hand leaves a surgical robot is provided, which can determine whether the human hand leaves by judging the relationship between the reference value and the preset value, so that the human hand is prevented from leaving the control handle of the surgical robot, but the surgical robot does not detect the leaving of the human hand, thereby causing a medical accident.

The invention relates to the technical field of old people tumble detection, and discloses an old people tumble real-time detection system based on attitude estimation, which comprises a control terminal and a data collection system, the data collection system is in bidirectional signal connection with the control terminal, and six daily attitudes including walking, standing, stooping, sitting down, jumping and lying down are systematically collected, so as to realize real-time detection of old people tumble. According to the data of five typical tumble scenes of forward hand use, forward knee use, backward, sideward and empty chair sitting, an extremely abundant training and judgment sample library is constructed. Omnibearing data coverage enables the system to deeply understand the slight difference between the normal activity and the tumble event in the dynamic process. Specific data modeling is carried out on scenes such as stooping, sitting down, jumping and lying down which are extremely easy to generate false alarms, and a system is effectively taught to distinguish'controlled posture change 'and'out-of-control falling process', so that the false alarm rate is substantially reduced fundamentally, and user trust decline and resource waste caused by frequent false alarms are avoided.

Methods, systems, and techniques for controlling posture by using eye gaze technology and other interfaces to facilitate position changes in seating, such as in a wheelchair or bed, are provided. Example embodiments provide an Eye Gaze Posture Control System (“EGPCS”) which enables people with advanced motor neuron diseases or disabilities like amyotrophic lateral sclerosis or muscular dystrophy to use eye gaze technologies to control their seating and bed positioning. In one embodiment, the example EGPCS comprises a posture and pressure advisor, logging and telemetry logic, a posture control application, device interface(s) to one or more other devices that control aspects of the powered wheelchair or bed, and eye gaze actuation control. These components cooperate to adjust position of a seat or a bed using eye gaze technology as opposed to by a virtual cursor or by manual control.

The invention relates to a control method for an intelligent seat, the intelligent seat and a control box for the intelligent seat. A control box of the smart seat is designed for controlling modules of the smart seat, in which an image of the smart seat is displayed on a control unit of the control box, and the control unit comprises controls for controlling the modules of the smart seat, the modules comprising a massage airbag module and a drive unit. The control method comprises the steps of determining whether a massage air bag module is in a massage mode or not in response to operation on a control for controlling posture change; in response to the fact that the massage air bag module is in the massage mode, the massage air bag module stops massaging, and a control used for controlling the massage air bag module fails; the driving unit drives the intelligent seat to change postures; and in response to the ending of the posture change, enabling a control for controlling the massage air bag module, so that the massage mode of the massage air bag module can be switched in response to the operation of the control for controlling the massage air bag module.