35 results about "Anthropometry" patented technology

A laparoscopic surgical instrument configured to be ergonomic and anthropometrically correct, comprising: a) an ergonomic handle configured to orient a hand of a surgeon in a functional position, the handle comprising a wall structure defining an interior portion, and adapted to contain at least a portion of one or more working mechanisms; b) an actuating mechanism actuatable by the surgeon and supported within the interior portion of the handle; c) a working shaft having a proximal end coupled to and operable with the actuating mechanism, the working shaft having an elongate configuration and a distal working end configured to couple a surgical tool to be manipulated by the surgeon; and d) means for accessing the interior portion of the handle to expose an inner side of the wall structure and at least a portion of each of the working mechanisms for cleaning, sterilization and maintenance purposes.

A bone resection guide, particularly for an ulna, utilizes anatomical reference points of the ulna to establish an optimal position for a prosthesis. The bone resection guide provides a guiding instrument that allows a surgeon to remove only bone that needs to be removed for precise placement of the end prosthesis. A method of resecting bone from the ulna in preparation of prosthetic implantation using the bone resection guide matches an elbow axis finder with a particular size of an ulna fossa of the patient. Once matched, a sized resection template, directly related to the shape of the prosthesis, is used as a resection guide. Incorporated into the bone resection guide are known anthropometric qualities when providing resection surfaces. This enhances the probable position of the implant.

A system is disclosed for statistical modelling, interpolation, and user-feedback based inference of head-related transfer functions (HRTF) includes a processor performing operations that include using a collection of previously measured head related transfer functions for audio signals corresponding to multiple directions for at least one subject; and performing Gaussian process hyper-parameter training on the collection of audio signals. A method is disclosed for statistical modelling, interpolation, measurement and anthropometry based prediction of head-related transfer functions (HRTF) for a virtual audio system that includes collecting audio signals in transform domain for at least one subject; applying head related transfer functions (HRTF) measurement directions in multiple directions to the collected audio signals; and performing Gaussian hyper-parameter training on the collection of audio signals to generate at least one predicted HRTF.

An articulable occupant support system for supporting an occupant, includes an upper frame, an articulable assembly comprising at least one section articulable relative to the upper frame and a motion control system. The motion control system is arranged to govern motion of the articulable assembly based on a relationship relating scheduled motion of the sections to anthropometric information.

The invention discloses a human body image hair detection method based on a deep convolution neural network. The method mainly solves the problems of low detection efficiency and poor adaptability inthe prior art. The implementation scheme of the method comprises the following steps of 1) acquiring a super-pixel segmented images of a human body image; 2) marking the super-pixel segmented images;3) extracting image blocks from the human body image; 4) acquiring training samples from the image blocks; 5) constructing a deep convolution neural network and training the deep convolution neural network by means of training samples; 6) acquiring the super-pixel segmented images of the human body image at to-be-estimated hair positions; 7) extracting the image blocks of the human body image at to-be-estimated hair positions and classifying the image blocks by utilizing the well trained deep convolution neural network; 8) generating the hair detection result of the human body image at to-be-estimated hair positions. According to the invention, the complexity and the calculation amount of extracting characteristic operators are reduced. The robustness and the application range are improved. The method can be used for 3D printing, virtual fitting, human body testing and the construction of movie and television game models.

An efficient technique to build subject-specific skeleton models from external measurements is provided. A generic human skeleton model is manipulated and deformed using marker positional data from human motion-captured sequences. The joint and bone geometry parameters are optimized to construct an estimate of the specific skeleton model of the human subject that originally performed the motion sequence. The scope of the fitting procedure can be adjusted to coincide with a series of smaller optimizations over local bone regions or expanded to a single global optimization over all skeleton geometry and joint parameters simultaneously.

The invention discloses a CT scanning visual localization method, which comprises the following steps: (1) setting a scanned site, scanning parameters and human body parameters of a patient; (2) acquiring one or more localization reference human body characteristics related to the scanned site; (3) in a process of moving a scanning bed, continuously acquiring human body images passing a scanning region and implementing human body characteristic recognition in real time, and acquiring positions, corresponding the localization reference human body characteristics, of the scanning bed; and (4) inaccordance with the acquired scanning bed positions, in combination with anthropometry knowledge, calculating an initial scanning position and an ending scanning position, corresponding to the scanned site, of the scanning bed. According to the CT scanning visual localization method, automatic localization can be implemented in a moving process of the scanning bed in accordance with the selectedscanned site, so that a relatively high processing speed and accurate localization are guaranteed, and the method is friendly to the patient. Meanwhile, the invention also discloses a CT system for implementing the CT scanning visual localization method.

The invention provides a measuring method of acetabular bones of human bodies, which not only realizes anthropometry through CT scanning and imaging technology, but also standardizes the measured data of the acetabular bones with the diameter d of acetabulum as the basis of unit standardization. The acetabular bones of human bodies probably differ in sizes but the basic proportion of the acetabular bones is consistent, therefore, the method applies the point and standardizes the measured data of the acetabular bones with the diameter d of acetabulum as the basis of unit standardization, thereby eliminating comparison difficulty caused by size difference of each bone and providing convenience for comparison and analysis between acetabular bones.

A body composition measuring apparatus using a bioelectric impedance analysis and a neural network algorithm for obtaining two or more anthropometry variables from testees and then inputting the anthropometry variables into the internal processing unit that has a built-in back propagation-artificial neural network that has one input layer, 1-10 hidden layers each having 1-15 hidden neurons and one output layer having one output neuron. By means of the aforesaid artificial neural network, the invention accurately predict the fat free mass of the testee so as to further obtain the amount of body fat, showing higher accuracy than conventional linear regression equation (LRE).

The invention belongs to the technical field of detection based on machine vision, in particular to a 3-dimensional human face recognition method integrating anthropometry and curvelet transform. The 3-dimensional human face recognition method is provided according to the principle that anthropometry information represents human face characteristic regions favorably and human eyes can sense local irregular features of flaws, is based on multi-scale spatial theoretic analysis, and is used for analyzing the relativity of features of human face characteristic areas to different scale coefficients and adjacent angle coefficients, and coefficient models of different positions and different directions of a plurality of scales and different dimensionalities in the same position and the same direction of a plurality of adjacent scales, overcoming the impact of noise, extracting effective low-dimensional features representing obvious features of the human face characteristic regions, and finally recognizing according to an nearest neighbor method. The 3-dimensional human face recognition method can be applied to human face recognition in various sites.

The invention relates to a method and a system for establishing a fetal birth weight estimation model. The method comprises the following steps of collecting the weight information of a sample fetus and the antenatal parameter information related to the weight of the fetus; dividing the antenatal parameter information of the sample fetus into two groups according to the weight information of the sample fetus, performing the significance test on the information to obtain a P value, and obtaining the statistical parameter information of the sample according to the P value; subjecting the statistical parameter information of the sample to the subject working characteristic curve analysis and obtaining the sample sensitive parameter information; performing the regression analysis according tothe weight information and the sensitive parameter information of the sample fetus, and establishing a fetal weight estimation equation to obtain a fetal birth weight estimation model. The establishment method of the estimation model is provided based on the relation between the human body dynamometer indexes of pregnant women and the birth weights of fetuses in Chinese cities. By means of the equation, the parturition period management and the guidance of the delivery mode selection are carried out, so that the adverse pregnancy ending rate can be reduced.

The invention discloses a servo suspension type low gravity simulation device for anthropometry and human body training. The servo suspension type low gravity simulation device comprises a support frame, a suspension system and a movable platform, wherein the support frame is used for supporting and providing mounting interfaces for the suspension system and the movable platform; the suspension system is mounted on the movable platform and is used for counteracting part of gravity through the suspension type; and the movable platform is mounted on the support frame and is used for providing the horizontally movable platform for the suspension system. The servo suspension type low gravity simulation device organically combines a weight reduction device and the movable platform through a pulley combination and solves the problem that a common suspension type low gravity simulation device cannot realize servo. In addition, the servo suspension type low gravity simulation device adopts balance weight or an elastic cord to counteract gravity, can conveniently and rapidly adjust according to the weight of a user and can precisely realize simulation of different low gravity levels throughcooperation with a tension sensor.

A system and method for collecting, evaluating and ranking residential real estate property layout design data for prospective home buyers and tenants based on the floor plan and a dimension attribute of the unit. The system extracts empirical data relating to individual spaces for generation of scores for the empirical data and individual space of the property based on anthropometric studies and an overall score of the property is generated based on the weighted combination of the scores of the individual spaces. Machine learning is utilised to improve the evaluation algorithm for assigning of scores. A report is generated for an evaluated property with the scores, comments on merits and weakness of the layout of the property and the ranking of the property against similar evaluated properties.

The invention puts forward a method for directly and automatically generating an animation from a static human body model. The method comprises the following steps that: (1) firstly, automatically extracting and identifying five feature points independently positioned on the tail ends of the limbs of the human body and the top of the head, and taking the feature points as starting points to calculate the center line of the equal geodesic of the model; (2) on the center line, according to human body metrology knowledge, determining the approximate positions of articulation points; (3) accordingto human body bond rigid movement characteristics and bone information provided by a movement data file, carrying out the accurate positioning of articulation points; and (4) through a thermodynamicdiffusion equation, calculating vortex weight, finally, adopting a local coordinate frame alignment method for the extracted bone to realize movement data matching, and taking the movement data to drive skin to generate a human body animation. An experiment result indicates that the method does not need manual participation, and the method has the characteristics of being irrelevant to a model gesture, fully automatic, good in animation effect and the like.

The invention relates to an intelligent multifunctional two-finger dexterous hand which comprises a mechanical system, a power supply system and a control system. The mechanical system includes an index finger, a connecting piece, a thumb, a traction rope, a box, a wrapping post and a winding reel; the thumb includes a distal joint, a proximal joint and a propodite, the index finger comprises a distal joint, a middle joint, a proximal joint and a propodite, and the length ratio of a knuckle is obtained by referring to anthropometry data. Bending of the thumb and the index finger is realized bydragging one traction rope through a micro DC motor, and actions of strong grasping and precise pinching are further completed; and the micro DC motor drags the one traction rope to rotate the thumbto change the posture, and a preparation is made for side pinching. The dexterous hand can grasp objects such as cylinders with curved surfaces on the surfaces through a strong grasping mode, objectssuch as cuboids comprising parallel planes are grasped in a precise pinching mode, and cake-shaped disc-like objects are gasped in a side pinching mode. During working in an unstructured environment,the grasping modes are changed to adapt to grasping and release operation of the target objects in different sizes and shapes, and the dexterity and adaptability of the dexterous hand are improved.

Disclosed is a method and apparatus for a fully customizable bath chair that is configurable to provide a wide variety of positioning options of the head, trunk and leg support in a sitting or reclining position. The described embodiments can be custom fit to individuals dimensions, or be refit at any time to accommodate growth and/or size changes. Legs, calf support and back angles as well as chair height can be adjusted independently to maximize positioning options to accommodate the support and comfort of the user. The chair has the unique capability to be adjusted in six independent dimensions, each affecting a specific relational fit to the individual users anthropometrics and functional need.