35 results about "Anthropometry" patented technology

A laparoscopic surgical instrument configured to be ergonomic and anthropometrically correct, the laparoscopic surgical instrument comprising: (a) an ergonomic handle configured to orient a hand of a surgeon in a functional position, the handle comprising a handle grip; (b) an actuating mechanism actuatable by a finger and supported by the handle, the actuating mechanism comprising an actuator shaft and a gearing assembly operable to displace the actuator shaft with a mechanical advantage upon actuation of a trigger by the surgeon; (c) a locking mechanism configured to lock the actuating mechanism in one of a plurality of positions, the locking mechanism comprising a release located in an anthropometrically correct position; and (d) a working shaft having a proximal end coupled to and operable with the actuator shaft, the working shaft having an elongate configuration and a distal working end configured to couple a surgical tool to be manipulated by the surgeon via the handle and the actuating mechanism to perform a surgical function.

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 laparoscopic surgical instrument configured to be ergonomic and anthropometrically correct, the laparoscopic surgical instrument comprising: (a) an ergonomic handle configured to orient a hand of a surgeon in a functional position, the handle comprising a handle grip; (b) an actuating mechanism actuatable by a finger and supported by the handle, the actuating mechanism comprising an actuator shaft and a gearing assembly operable to displace the actuator shaft with a mechanical advantage upon actuation of a trigger by the surgeon; (c) a locking mechanism configured to lock the actuating mechanism in one of a plurality of positions, the locking mechanism comprising a release located in an anthropometrically correct position; and (d) a working shaft having a proximal end coupled to and operable with the actuator shaft, the working shaft having an elongate configuration and a distal working end configured to couple a surgical tool to be manipulated by the surgeon via the handle and the actuating mechanism to perform a surgical function.

A breathing mask for use in administering inhalable medications to a patient in need of an inhaled drug is provided. The mask disclosed herein is particularly useful for use with very young children. The mask is made from a flexible molded plastic silicone or elastomeric material, and has an anthropometrically / anatomically / ergonomically contoured shape to provide a good seal, a comfortable fit, and minimal dead space within the mask. The airway is aligned with nose. There may be an orifice for use with a soother device to calm a child using the mask. Also provided is a visual flow indicator to provide an indication of the quality of the seal of the mask on the face.

A headgear assembly for attachment to a patient interface that delivers breathable gas to a patient, includes a pair of side portions and a rear portion that interconnects the pair of side portions, each of the side portions including an upper side strap and a lower side strap, the rear portion including an upper strap, a lower strap, and intermediate connecting straps extending between the upper strap and the lower strap. The headgear assembly is designed and configured so as to be used with a plurality of different mask systems, and to accommodate for variations in the anthropometrics across a wide variety of patients.

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.

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.

The invention relates to a portable human body load physiological and biomechanical monitoring device which is characterized by comprising a physiological fatigue state detection unit, a biomechanical signal detection signal and a data acquisition and analysis unit. By adopting the portable human body load physiological and biomechanical monitoring device, a field load walking test can be carried out, and human body physiological and biomechanical data in a real load walking state are obtained. In addition, the device detects and displays the tightness degree and a balance state of the shoulder, the check and a waistband of a knapsack in real time, ensures correct usage of the knapsack, prevents the knapsack from load fatigue caused by improper usage of the knapsack, eliminates interference factors, and accordingly can really and objectively monitor the influence of knapsack weight, the walking time, the knapsack design and other factors on the human body load fatigue. The portable human body load physiological and biomechanical monitoring device can be widely applied to the research fields of anthropometry, biomechanics, ergonomics and the like.

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).

Surgical robotic systems including a user console for controlling a robotic arm or a surgical robotic tool are described. The user console includes components designed to automatically adapt to anthropometric characteristics of a user. A processor of the surgical robotic system is configured to receive anthropometric inputs corresponding to the anthropometric characteristics and to generate an initial console configuration of the user console based on the inputs using a machine learning model. Actuators automatically adjust a seat, a display, or one or more pedals of the user console to the initial console configuration. The initial console configuration establishes a comfortable relative position between the user and the console components. Other embodiments are described and claimed.

The invention provides a non-contact pediatric measuring method. The method includes the steps: building an infant body model by acquiring body images and depth images of an infant to be measured; updating the built infant body model by extracting a plurality of anthropometry characteristic points; finally, acquiring anthropometry data of the infant to be measured from the updated infant body model. Besides, the invention further provides a non-contact pediatric measuring device implementing the measuring method. The infant body model comprising the anthropometry characteristic points and a three-dimensional surface model is built by the aid of the body images acquired by an image acquisition module and the depth images acquired by a depth information acquisition module according to algorithm programs built in a data acquisition and processing unit, and the anthropometry data are acquired by analyzing the infant body model. According to the non-contact pediatric measuring method and the measuring device, the body of the infant to be measured does not need to be contacted in the measuring process, and the measuring process is more humanized.

A tampon pledget has an absorbent mass of material and a withdrawal string located at one end thereof. During use, the tampon pledget expands to take on a geometric configuration that approximates the shape of the vagina into which the tampon pledget is inserted. An anthroprometrically expandable tampon pledget has an absorbent mass of material that is defined by a first end having a first density, a second end having a second density, and a portion intermediate the first and second ends. The material expands at different rates upon being contacted by body fluids, thereby allowing the tampon pledget to conform to the shape of a vagina. A method of making an expandable tampon pledget includes the steps of providing an absorbent material, attaching a string thereto, and compressing the material into a cylindrical shape such that a density gradient is realized over a length of the compressed material.

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.

A headgear assembly for attachment to a patient interface that delivers breathable gas to a patient, includes a pair of side portions and a rear portion that interconnects the pair of side portions, each of the side portions including an upper side strap and a lower side strap, the rear portion including an upper strap, a lower strap, and intermediate connecting straps extending between the upper strap and the lower strap. The headgear assembly is designed and configured so as to be used with a plurality of different mask systems, and to accommodate for variations in the anthropometrics across a wide variety of patients.

The invention provides a gait feature extraction and generation method for ankle joint ligament injury and a system. The gait feature extraction and generation method includes the steps of ankle motion measurement, data preprocessing, gait phase segmentation, gait feature space construction, gait feature generating, authenticity and generative feature correlation evaluation and visual verificationof generative feature validity. The problems of low feature quality and insufficient sample size in an existing medical system are solved. By collecting gait data of a subject and aiming at the anklejoint ligament injury, a small sample data set of an injury group and a control group is established, feature refinement comparison and analysis are carried out based on an anthropometric method, a gait feature space of ankle joint injury is established, gait feature generation and validity verification are carried out, and a large amount of high-quality and efficient feature data support based on anthropometry is provided for research and application in related fields such as intelligent ankle injury diagnosis and decision-making based on big data, precise construction of rehabilitation programs, and development of assisted exoskeleton robots.

A system for generating and outputting three-dimensional audio data using head-related transfer functions (HRTFs) includes a processor configured to perform operations comprising: using a collection of previously measured HRTFs for audio signals corresponding to multiple directions for at least one subject; performing non-parametric Gaussian process hyper-parameter training on the collection of previously measured HRTFs to generate one or more predicted HRTFs that are different from the previously measured HRTFs; and generating and outputting three-dimensional audio data based on at least the one or more predicted HRTFs.

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.

The invention provides a method and a system for controlling an emotion lamp based on expressions. A local anthropometry model is acquired, facial five-sense-organ features, facial contour features and direction gradient histogram features are inputted into the anthropometry model to obtain age classifications corresponding to facial graphs, and a music adjustment scheme can be adjusted accordingto ages so that music played by the emotion lamp is closer to the real emotion of the user; the facial feature, the facial contour feature and the direction gradient histogram feature are inputted into a convolutional neural network, and the convolutional neural network has the advantages of simplifying the complexity of an expression analysis algorithm and improving the accuracy of expression analysis; the convolutional neural network is provided with five continuous convolutional layers and three full-connection layers, and the number of neurons of the three full-connection layers is set tobe 1024 so that the structure is the optimal structure with excellent classification performance, short execution time and few training parameters.

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.

An obesity preventing and tracking system, the system comprising: at least one in-building overweight and obesity preventing module for collecting anthropometry information from a person at a fixed location in order to forecast and prevent development of an obesity condition; and / or at least one on-board vehicle overweight and obesity preventing module for collecting the anthropometry information from the person in a vehicle operable by the person in order to forecast and prevent development of an obesity condition and / or at least one entertainment overweight and obesity preventing module for collecting anthropometry information from said person while said person is a guest at an entertainment facility in order to forecast and prevent development of an obesity condition; and a communications network for linking at least one in-building overweight and obesity preventing module and at least one on-board vehicle overweight and obesity preventing module and at least one entertainment overweight and obesity preventing module to a trend obesity preventing service for predicting the development of an obesity condition of the person.