7 results about "Elderly falls" patented technology

The present application relates to the technical field of intelligent monitoring, in particular to an old people fall monitoring and early warning method and system based on multi-source information fusion, the system comprising a visual perception module, a wearable sensing module, a central processing unit and an early warning module. The method is as follows: collecting human posture video stream, human waist three-axis acceleration and three-axis angular velocity, foot pressure, heart rate and blood oxygen physiological data in the monitoring area; respectively analyzing visual posture information, inertial sensing and foot pressure data, and extracting key motion features; comprehensively analyzing the features of the three types of information sources, especially using the MediaPipe framework to efficiently analyze human posture, combining with wearable sensor data, adopting a multi-modal feature fusion strategy based on attention mechanism, improving the accuracy of multi-source information fusion, so as to accurately judge the stability of the current posture of the old people and the fall risk level, and timely trigger the early warning, improving the accuracy and safety of the monitoring.

This invention belongs to the technical field of geriatric clinical rehabilitation equipment, specifically relating to an adjustable geriatric clinical exercise device, including a base, an upper limb exercise component and a lower limb exercise component mounted on the upper surface of the base, and an anti-fall component mounted on the base. The anti-fall component includes a first fixed seat mounted on the upper surface of the base, on which a hydraulic push rod is fixedly mounted. A seat is detachably mounted on the top of the hydraulic push rod, and the rear end of the seat is detachably connected to the backrest. Armrests are also mounted on both sides, and the bottom of the armrests is rotatably connected to the bottom of the seat. The invention incorporates an anti-slip pad on the base to increase the device's stability. The combination of a guardrail, a flexible layer, and a pressure alarm sensor forms comprehensive fall protection. The flexible layer cushions impacts, and the pressure alarm sensor provides timely warnings, reducing the risk of falls and injuries to the elderly. The armrests are foldable, providing support for the elderly to stand up, further enhancing safety.

The application discloses an old people fall early warning method and system based on non-complete sequence and physical checking, and the method comprises the following steps: obtaining the reference standing height of a person to be detected; buffering the video stream containing the person to be detected to a ring buffer with a capacity of N frames frame by frame, updating the buffer and triggering detection after a new frame is entered; performing skeleton key point extraction and normalization on each frame of image to obtain a skeleton sequence; cutting a sub-sequence from the skeleton sequence as a truncated early skeleton sub-sequence and resampling to obtain a standardized early sequence; inputting the standardized early sequence into a trained physical perception double-flow graph convolution network to obtain an initial fall probability of the person to be detected; calculating physical state space features, and combining the initial fall probability to perform hierarchical physical constraint posterior checking to obtain a frame determination result; and issuing a fall warning information when a plurality of continuous frames are determined as falling. The application can warn before falling occurs, and can also maintain high recall rate and high accuracy.

The present application relates to the technical field of fall detection, and relates to an old person fall detection and alarm system based on a multi-modal sensor.The present application collects the height of the center of gravity from the ground in real time, combines the allowable height deviation of the detection object, analyzes whether the center of gravity is moving downward, calculates the azimuth of the center of gravity displacement based on the displacement vector of the center of gravity in the reference rectangular coordinate system, constructs a real-time center of gravity feature parameter set, obtains the azimuth of the hands and the distance from the hands to the center of gravity within a set time period, combines the center of gravity feature parameter set and the historical normal behavior data set of the detection object, determines whether the current state is reasonable, if not, analyzes the overall offset consistency based on the azimuth of the center of gravity offset and the azimuth of the hands, combines the time sequence of the height of the center of gravity from the ground and the height of the hands from the ground to determine whether a fall has occurred, reduces the false alarm and missed alarm probability, improves the recognition accuracy of the detection system, and guarantees the personal safety of the old people.

The application relates to an intelligent voice interaction method and system for old people fall rescue, and relates to the field of fall detection, which comprises the following steps: 100, collecting a radar signal; 101, identifying an installation height from the radar signal; 102, determining a monitoring area based on the installation height, and identifying an old people position from the radar signal; 103, comparing the old people position and the monitoring area to determine a monitoring type; 104, determining an old people posture based on the monitoring type; 105, determining a continuous duration according to the old people posture, and determining a monitoring duration based on the old people posture; 106, comparing the continuous duration and the monitoring duration to determine an old people state; 107, generating and sending voice inquiry information in response to the old people state. The application has the effects of improving the accuracy of a fall detector in identifying old people fall and more accurately detecting old people fall.

This invention discloses an intelligent emergency alarm device for preventing falls in the elderly, specifically relating to the field of mobility aids. The device includes a wheelchair, two multi-functional emergency audible and visual alarm lights (capable of illumination and alarm), two adjustment mechanisms, two armrest assemblies respectively mounted on both sides of the wheelchair, a moving mechanism, a transparent window, an operating screen, and an information display showing user information. By incorporating a moving mechanism within the wheelchair armrest assembly, using a motor to drive a screw and a slider, the information display can be quickly pushed directly below the transparent window. Furthermore, the fall detection module is wirelessly linked with the moving mechanism and alarm lights. When an elderly person falls, the information display simultaneously shows rescue information, and the alarm lights simultaneously trigger an audible and visual alarm, allowing nearby personnel to promptly obtain crucial rescue information and detect the fall.