41 results about "Biological motion" patented technology

The invention discloses a graphene-based strain measuring or motion sensing device. The device is formed by the following steps: a layer or a plurality of layers of graphene film layers are combined on a flexibly insulating substrate; two ends of the graphene film layer are led out through electrodes and connected with ohmmeters, wherein the device is closely combined on the surface of an object to be detected, or a plurality of the devices are closely combined on the surface of the object to be detected, so that the strain variation measurement or motion monitoring can be realized. The device disclosed by the invention has the advantages of simple manufacturing method and capabilities of being suitable for large-scale production such as surface mounting and the like, and being applied to various types of environments and deformed surfaces; especially, the influence on the object to be detected is small, so that contactless measurement can be realized, and the device is suitable for monitoring biological motion. The invention further discloses a manufacturing method and a measuring method for the device.

The invention provides a biological motion information based upper limb shoulder elbow wrist joint motion function evaluation method. The method includes: choosing acceleration signals and myoelectric signals as biological motion information of upper limb motion; performing feature extraction to the acceleration signals and the myoelectric signals; on the basis, screening feature values from two aspects: screening features according to typicality and distinguishability of signal features and aiming at actions of different types and different action executing abilities; utilizing different advantages of two kinds of signals to combine the feature values of the two kinds; and taking a short form Fug1-Meyer scoring value as a standard to construct a linear regression model for optimized combination of multiple signal features, and using the optimized combination to serve as upper limb shoulder elbow wrist joint motion function evaluation index criteria. By the method, online real-time information extraction and score detection can be realized, and conventional upper limb motion function evaluation method can be substituted to quantitatively score upper limb motion functions more deeply.

A weighting function is created according to an arbitrary bio-movement correction range and a projection data angle for back-projection (width in the view direction used for reconstruction), set by a user, by considering the degree of the bio-movement and redundancy. By using this weighting function, an image reconstruction is performed.

The bio-movement correction range is set as a correction angle width index ε expressing the width guaranteed as a slope portion of the weighting function. The projection data angle for back-projection (data width) is determined by considering the data redundancy, SN, time width (time resolution) contributing to the image.

By determining the weight according to these two parameters, it is possible to apply reconstruction of projection data of all the scan ranges in the reconstruction of the tomogram and prevent lowering of the data contribution ratio as well as reduce the motion artifact, thereby obtaining a high-quality image.

The invention relates to a bionic intelligent control method. In order to solve the problems that the intelligence level capable of being met by a traditional robot control method is limited, a robot cannot independently adapt to an unknown environment, has difficulty in acquiring the capacity for completing complex tasks from simple experience and cannot complete tasks through self-learning, a biological sensorimotor nervous system is simulated from the bionic perspective, and the operant conditioning mechanism is fused into the design of the sensorimotor system. Biological motion neurocognition is reproduced by copying the sensorimotor system, simulation the biological cognitive mechanism is facilitated, and thus the cognitive level of the robot is improved; the operant conditioning function is added, and thus the feedback closed loop relation of interaction between perception and motion in the sensorimotor system is explained, the system is made to show biologically similar self-learning behaviors, and the intelligence level of the robot is improved.

An ultrasonic diagnosis device characterized by the provision of the following: an ultrasound probe; an ultrasound transmission unit that transmits ultrasound towards a subject through the ultrasound probe; an ultrasound reception unit that generates a received signal on the basis of reflected waves corresponding to the aforementioned ultrasound; a Doppler-signal generation unit that, on the basis of said received signal, generates a first Doppler signal and a second Doppler signal, said first Doppler signal resulting from biological motion in a prescribed direction inside a region of interest and said second Doppler signal resulting from motion that is slower than the motion inside the region of interest; a velocity-display scale determination unit that determines a first velocity-display scale on the basis of a velocity distribution range from the first Doppler signal and determines a second velocity-display scale on the basis of a velocity distribution range from the second Doppler signal; an image generation unit that generates a first Doppler image on the basis of the first Doppler signal and generates a second Doppler image on the basis of the second Doppler signal; and a display unit that displays the first Doppler image at the first velocity-display scale and the second Doppler image at the second velocity-display scale.

Embodiments of the invention provide a living body detection method and device and electronic equipment. The method comprises the steps of extracting spatial features and time features of multiple frames of to-be-detected face images; inputting the spatial features and the time features into a first convolutional neural network model, and obtaining low-dimensional spatial features and low-dimensional time features output by a global pooling layer in the first convolutional neural network; inputting the multiple frames of face images into a second convolutional neural network model, and obtaining biological motion features output by a full connection layer in a second convolutional neural network; and calculating a living body detection result of the multiple frames of face images accordingto the low-dimensional spatial features, the low-dimensional time features and the biological motion features.

The invention discloses an aquatic animal density survey method. The method comprises the following steps of S1, performing area division on a to-be-tested water area; S2, performing photographing inwater by using a 360-degree diving camera in each area; S3, identifying to-be-surveyed fingerlings by using an image recognition system and performing statistics on the quantity of the fingerlings ineach area; and S4, repeating the steps S1 to S3, until the obtained quantity value tends to be stable. The 360-degree diving camera is used for photographing organisms in the water of the water area;the image recognition technology is used for carrying out image recognition analysis on the to-be-surveyed fingerlings; the quantity of the corresponding fingerlings is obtained; the density of the fingerlings can be obtained according to the size of the water area; when underwater photos are obtained, a plurality of 360-degree diving cameras can be used simultaneously for performing image collection on all areas, so that the effect of inaccurate quantity statistics caused by biological motion can be avoided; and the surveyed organisms are subjected to total quantity statistics through image recognition, so that a statistical result is high in accuracy.

The invention discloses a weight losing method for quickly decomposing fat. The method is characterized by comprising the following steps of: during weight losing, drinking a cup of aqueous solution of vitamin B serving as an active ingredient with the effect of metabolizing the fat and lacking in body; after the solution of the vitamin B is drunk, taking exercise with a simulated biological motion instrument for 30 to 45 minutes to produce the metabolic cycle bionic effect so as to repair cells, decompose the fat and expel toxin; and sticking a navel patch to the navel for 10 to 18 hours so as to effectively limit the absorption of fat in food, accelerate the metabolism of the decomposed and semi-decomposed fat and control the diseases, wherein the navel patch is used once to twice every day, and ten days constitute a treatment course. The method has the advantages that the requirements of World Health Organization are met, three meals are eaten as usual, diarrhea, weakness and rebound are avoided, the method is scientific, reasonable and safe, the weight losing effect is good and the like.

A locomotion generation method for a digital creature includes: imaging and capturing movements of a creature placed on a base plate having a printed pattern; extracting body position information, body posture information, leg posture information, and footprint information of the creature by analyzing captured images; and generating creature movement by applying inverse kinematics to the body position information, the body posture information, the leg posture information, and the footprint information of the creature. The movements of the creature are imaged and captured by using two or more cameras without camera calibration

The present invention discloses a bone-implanting artificial limb and its installation method in biomedicine engineering. The bone-implanting artificial limb consists of implant, intermediate and outer artificial limb. The implant has one end inserted directly into the inner cavity of residual bone after amputation, and after the implant is combined with soft tissue and skin and the cut is healed via once or twice operation, the intermediate is connected to the extending part of implant while being connected to the outer artificial limb. Unlike traditional artificial limb, which has receptor cavity for transferring motion and driving force and thus offensive odor in the receptor cavity-residual limb interface, residual limb infection caused by friction, limited limb activity range and other limitation, the present invention has no said demerits and complies with body's motion regularity.

The present invention relates to a biology-friendly data transmission method in an underwater sensor network. Sending or receiving nodes in the sensor network need to avoid the interference on aquatic organism around the sending or receiving nodes so as to realize a biology-friendly communication target. The method provided by the invention comprises: the sending or receiving nodes in the sensor network need periodically monitoring channels to detect whether there are provided biological signals or not; when there are provided underwater creatures, the nodes are configured to locate the creatures; when the creatures move in the coverage area of the node signals, the nodes are configured to stop sending and then send again after the creatures are away from the coverage area so as to prevent the normal communication between creatures from manual signal interference. According to the invention, the position of creatures is determined through the sound power of the creature, and the signal sending time of nodes is arranged according to the motion condition of the creature so as to realize the biology-friendly data transmission.

The invention relates to a hip joint angle measurement apparatus. The hip joint angle measurement apparatus comprises a machine frame, an acquisition fine tuning module, a motion module and a motion control module, wherein the acquisition fine tuning module is connected with a base plate on the machine frame through a connecting plate, the motion control module is fixed on the base plate of the machine frame through a fixation side bearing, and the motion module is connected with a mobile plate on the motion control module through a bearing unit. The acquisition fine tuning module is internally provided with a force transducer and a three-dimensional slide unit, for online determination of a loading force and a fine tuning loading force; and a handle on the motion control module can adjust a slide leading screw so as to adjust the size of the loading force. The measurement apparatus provided by the invention can test and determine angle performance of a biomedical hip joint and can test biological motion features of an orthopaedic implantation apparatus under different load conditions; and the manufacturing and maintenance cost is low, the operation is convenient, and the promotion and application are easy.

A method for analyzing a cell or cells by suppressing non-biological movement. The method includes the steps of placing the cell or cells in a solution having a viscosity enhancement medium. There can be the step of measuring the motility of the cell, or other desired attributes of the cell or cells.

The invention provides an aquatic organism living environment state early warning method and an aquatic organism living environment state early warning system. The aquatic organism living environment state early warning method comprises the steps of: acquiring multiple environment parameters of a current living environment and behavior image information of aquatic organisms; comparing the multiple environment parameters with multiple environment parameters in a preset living environment to obtain abnormal environmental factors; comparing the behavior image information with behavior image information in the preset living environment to obtain abnormal motion parameters; acquiring a synthesized factor of an organism living state according to the abnormal environmental factors and the abnormal motion parameters; and comparing the synthesized factor with a preset threshold value to determine the living environment state. The aquatic organism living environment state early warning method and the aquatic organism living environment state early warning system obtain the synthesized factor influencing growth of the organisms through monitoring water quality parameters of the aquatic organism living environment, monitoring organism motion by means of machine vision and carrying out information fusion on water quality sensor information and machine vision information, and judge environmental stress behaviors of the organisms and send out early-warning on the environmental stress behaviors of the organisms according to the comparison of the synthesized factor and the preset threshold value.