31 results about "STRIDE" patented technology

The invention relates to a system and a method for assessment of walking and miming gait in human. The method is preferably based on the fusion of a portable device featuring inertial sensors and several new dedicated signal processing algorithms: the detection of specific temporal events and parameters, 5 optimized fusion and de-drifted integration of inertial signals, automatic and online virtual alignment of sensors module, 3D foot kinematics estimation, a kinematic model for automatic online heel and toe position estimation, and finally the extraction of relevant and clinically meaning-full outcome parameters. Advantageously including at least one wireless inertial module attached to foot, the system provides common spatio-temporal parameters (gait cycle time, stride length, and stride velocity), with the 10 advantage of being able to work in unconstrained condition such as during turning or running. It furthermore may provide original parameters for each gait cycle, both temporal (load, foot-flat and push duration) and spatial (foot clearance and turning angle), and their inter-cycles variability. The system and method according to the invention allows the assessment of various aspects of gait which have shown recently to be of premium importance in research and clinical field, including foot clearance, 15 turns, gait initiation and termination, running, or gait variability. The system may be light weight, easy to wear and use, and suitable for any application requiring objective and quantitative evaluation of gait without heavy laboratory settings.

A method, system, and article of manufacture for detecting, recording, quantifying, and classifying gait data. In one embodiment, the method of the invention includes a step of detecting foot contact events using a portable sensor device. Stride data is collected by processing the detected foot contact events to obtain and record gait pattern data. At least one gait stability value is determined from the gait pattern data using a specified gait stability metric. The gait stability value is preferably a mathematical chaos value which is processed utilizing clustering correlation to classify the gait pattern data in association with a neuromuscular status. In a preferred embodiment, fuzzy logic is utilized to correlate the determined gait stability value with a plurality of gait stability values each associated with a distinct neuromuscular status.

The invention discloses a target gait posture evaluation method and device, equipment and a medium. The method comprises the steps of obtaining foot pressure data of a target object; feature points are selected, and specific behavior calibration is conducted on the foot pressure data; calculating a stride frequency according to the data at the feature points within a period of time, and determining the motion state of the target object through a preset stride frequency interval; performing static evaluation and dynamic evaluation on the target object; the static evaluation result and the dynamic evaluation result are coded respectively, and a static code and a dynamic code are obtained; inputting and encoding the posture data of the target object to obtain a posture code; according to the static codes, the dynamic codes and the posture codes, the correlation between the foot postures and the gaits and the postures is evaluated. According to the invention, the stress distribution of the planta pedis in daily activities is quickly and accurately captured in real time through a sensor technology, and the form and the force are identified and evaluated through a computer technology.

The invention discloses a general safety test generation method based on threat modeling. The method comprises the following steps: modeling according to system user requirements; performing threat recognition on the system by using STRIDE, and generating a threat type corresponding to each element; generating a universal threat mode tree based on the generated threat type, and then generating a universal test sequence based on the generated threat mode tree; and finally, formulating a universal test case based on the generated test sequence. According to the method, the defects that in the prior art, threats are recognized by using an STRIDE method of Microsoft, but specific analysis on reasons and conditions of occurrence of the threats is lacked, subsequent development and test design cannot be well guided, and safety problems cannot be fundamentally solved are overcome, universal tests can be generated on the basis of STRIDE, and the method has the advantages of being high in practicability and easy to popularize. Threat recognition and analysis are transited to test design, and the effect of fundamentally solving the safety problem can be well achieved.

The invention relates to the technical field of exercise and health management, in particular to a personalized exercise amount recommendation system and method. The method comprises the steps of: obtaining user information, wherein the user information comprises a basic information, exercise habits and health information; generating an exercise prescription according to the user information, wherein the exercise prescription comprises an exercise time period, an exercise duration and a stride frequency range; acquiring user motion information, wherein the user motion information comprises a sequence formed by a plurality of unit time periods and user stride frequencies corresponding to the unit time periods; and calculating the exercise amount of the user according to the user stride frequency and the exercise duration to obtain the exercise prescription completion duration of the user and determine whether the user completes the exercise amount or not. According to the personalized exercise amount recommendation system and method, a scientific fitness plan can be made for the user, the exercise amount of the user can be accurately detected, the execution condition of the exerciseplan of the user is accurately recorded, and effective execution of the fitness plan is ensured.

The invention discloses an electric power personnel safety state intelligent identification method based on stride measurement and a medium. The method comprises the steps of detecting and tracking abounding box of each person in a video picture based on a multi-target tracking algorithm and allocating a personnel ID number, inputting the image in the bounding box of the person into a key point detection algorithm to obtain left and right ankle key points of the human body and correlating the left and right ankle key points with the bounding box of the person, determining a bounding box of aperson whose stride needs to be measured, obtaining corresponding left and right ankle key point data, selecting a measurement ankle, determining a current motion state of the measurement ankle by measuring ankle key points, calculating a moving distance between two adjacent static states of the measurement ankle, recording the moving distance as the stride of the person, and generating person state information, and generating person safety state information based on the person state information and a preset safety rule. No extra manual intervention is needed, only the camera is needed to acquire the test image in real time without wearing other hardware equipment, the operation speed is high, the deployment is convenient, and the method is suitable for different scenes.

The invention discloses a method for determining step width in gait based on walking track data. The method comprises the following steps: extracting three-dimensional position coordinates of two markpoints of a right heel and a left heel of a human body in walking; determining a foot landing moment of the human body in walking; calculating the step width of the human body in walking; determiningthe positive and negative of the walking step width of the human body. According to the method for determining the step width in the gait based on the walking track data, a reasonable simplificationmethod and strict mathematical operation are utilized, and whether a side foot following place falls into a polygon defined by the same side foot following track and the stride of the same side foot following track or not is judged to accurately calculate the step width size and positive and negative. The method is reliable in principle, convenient to calculate, easy to implement and high in precision, and therefore a foundation is laid for further internal and external stability analysis, gait feature extraction, biomechanical calculation and the like. Compared with a traditional method, thetechnology is simpler and more accurate.

The invention discloses re-optimization of a gait classification method, and r elates to the technical field of gait analysis; the method comprises the following steps: S10, acquiring foot pressure information and stride information of a plurality of groups of different crowds during walking, and correspondingly recording identity characteristic information of the different crowds; and S20, obtaining foot pressure and stride sizes of the different crowds during walking according to the foot information of the different crowds during walking in the S10. According to re-optimization of the gaitclassification method, through data acquisition in the earlier stage, feature value extraction, the acquired data is analyzed and process for obtaining a class function model; the process includes inputting basic information of some new patients through the model, so the optimal adaptive planning gait of the patient can be obtained, key information related to the gait of the new patient can be effectively obtained through the corresponding mechanism, rehabilitation gait planning is conducted on the new patient through the information, mismatching of the patient in rehabilitation training can be effectively reduced, and the rehabilitation training efficiency of the patient is improved.

The invention provides an intelligent exercise recommendation method and device and electronic equipment, and the intelligent exercise recommendation method comprises the steps: obtaining user sign information and historical exercise record information, the user sign information at least comprising one of gender, age, height and weight; in response to a first user operation that a user selects to input a motion target on the electronic equipment, determining a recommended motion scheme according to the motion target, the user sign information and the historical motion record information, the recommended motion scheme comprising a plurality of running stages and recommended duration and recommended motion parameters of each running stage, the plurality of running stages at least comprise one of an exercise warm-up stage, an intensity improvement stage and an exercise end stage, and the recommended exercise parameters at least comprise one of speed, stride and heart rate range. Therefore, the exercise scheme suitable for the user can be output according to the user physical sign information, the historical exercise record information and the exercise target, the exercise risk of the user is reduced, and the exercise effect is improved.

The invention discloses a background sound adjustment method and device based on a treadmill, a storage medium and intelligent equipment. The method comprises the following steps: acquiring stride frequency of a user within a set time length; according to the stride frequency and the set running speed, the average stride of the user within the set time is obtained; judging whether the absolute value of the difference between the average stride and the recommended stride is greater than a preset value or not; and if the absolute value of the difference between the average stride and the recommended stride is greater than a preset value, playing adaptive background sound, so that the absolute value of the difference between the stride of the user and the recommended stride is less than the preset value. By controlling the background sound to guide the user to adjust the stride, the technical problem that the running stride cannot be guided through the background sound in the prior art is solved.

The invention relates to the technical field of exercise quality evaluation, in particular to a stride frequency test method. The test method comprises a stride frequency test device and a construction test condition. The stride frequency test device comprises a test component and an acquisition component, wherein the acquisition component is partially arranged on the test component; and the acquisition component is partially fixed on a user. According to the construction test condition, by using the stride frequency test device, user data are acquired and processed, and a result is output. The method comprises the following steps of S1, inputting personal information of a user, limiting a maximum numerical value, and adjusting a ground surface condition and a slope of the test component; S2, performing an exercise test on the user and recording data; S3, presetting a time interval, dividing the whole time period into three parts, setting the three parts as exercise intensities of the three stages, calculating exercise heart rates of the three stages, and comparing the exercise heart rates with the stride frequency test result; S4, repeating the steps S2 and S3, adjusting the ground surface condition and the slope, and recording data at the same time; and S5, processing the data and outputting the result.

The invention relates to a gait phase recognition method adaptable to variable stride frequency walking. The method comprises the following steps: placing an inertial measurement unit on a foot to collect human body motion data; designing a foot extreme value detection algorithm capable of carrying out structural parameter self-adjustment according to stride frequency and amplitude characteristics, and realizing stable extraction of extreme point characteristics of foot motion data; a foot zero-speed detection algorithm fused with a self-adaptive oscillator is designed, and accurate extraction of foot zero-speed state features is achieved; and classifying and analyzing the extracted foot characteristic values by utilizing a finite state machine, thereby realizing accurate identification of four phases, namely a foot ground-touching phase, a standing phase, a standing end phase and a pre-swinging phase in a walking mode with variable stride frequency. The foot gait phase recognition process is no longer limited to a laboratory environment and a walking mode with a fixed stride frequency, the gait phase recognition accuracy in a complex environment and a motion mode is effectively improved, and application and development of gait analysis in the field of medical rehabilitation and rehabilitation robots are facilitated.

The invention relates to the technical field of exercise and health management, in particular to a high-precision exercise amount recognition system and method based on stride frequency. The method comprises the steps of: obtaining walking information of a user, wherein the walking information comprises a sequence formed by a plurality of unit time periods and user stride frequencies correspondingto the unit time periods; determining whether the user stride frequency in each unit time period exceeds a stride frequency threshold value or not, if yes, determining that walking in the corresponding unit time period is effective motion, and if not, determining that walking in the corresponding unit time period is invalid motion; dividing the user walking information into a plurality of effective motion time periods according to the effective motion and the invalid motion; and recording the duration of each effective exercise time period to obtain the exercise amount of the user. Accordingto the high-precision exercise amount recognition system and method based on the stride frequency, the exercise amount of a user can be accurately detected and recorded, and data support is provided for the user to make and implement a scientific fitness plan.

A gait trainer adapted for use with a treadmill and, optionally, a spinning cycle, provides greater accessibility for therapeutic and rehabilitative gait pattern training to individuals confronting injury, illness, or disability. The gait trainer is adjustable, to accommodate a wide variety of users with different stride lengths and needs.

This paper discloses a stride calibration method. The method includes: the first device detects that the user is walking or running, and collects the number of motion steps of the user, and judges whether the user's stride in the preset database needs to be calibrated, and if calibration is required, the second device The device requests to obtain the user's actual movement distance; the user's stride in the preset database is used to provide the first device to calculate the user's movement distance; the first device calculates the user's movement distance according to the user's Calculate the actual stride of the user based on the actual distance of movement and the number of steps of the user, and use the calculated actual stride to update the stride of the user in the preset database. The above solution can realize stride estimation and calibration for the first device that is not configured with a distance monitoring element, thereby improving the accuracy of the first device in calculating the user's movement distance.

The invention discloses a treadmill-based stride monitoring method and device, a storage medium and intelligent equipment. The method comprises the following steps: acquiring the total average stride, the left foot average stride and the right foot average stride of a user within a set time length; calculating a first difference value between the total average stride and a recommended stride, wherein the recommended stride is a stride obtained according to the body data of the user and a preset rule; judging whether the first difference value exceeds a preset value or not; if the first difference value exceeds a preset value, the stride deviation percentage is calculated according to a formula, and the formula is that the difference value of the left foot average stride and the right foot average stride is divided by the left foot actual average stride or the right foot actual average stride; and generating a stride adjustment guide according to the stride deviation percentage. The technical problem that an existing treadmill cannot correct stride abnormity of a user is solved.

The invention describes a method for analysing the stride of a walking pedestrian, comprising steps of: (a) acquiring, during a recording period, motion measurements of a lower limb (1) of the pedestrian, (b) determining each stride made by the pedestrian, (C) dividing the recording period into recording sub-periods, (d) for several detected strides, estimating a characteristic value of the stride, (e) selecting at least one characteristic stride value from a predetermined range of percentiles within a set formed by the estimated characteristic stride values, ordered by increasing values and occurring during a recording sub-period, (f) repeating step (e) for several recording sub-periods. The invention also concerns a piece of equipment (10) for analysing the stride of a walking pedestrian, and a computer program product.

The invention discloses a motion type judgment method and system. The motion type judgment method comprises the following steps of: firstly, acquiring speed historical data, stride historical data andstride frequency historical data of a user in each motion type, and establishing a corresponding table of the motion types and stride frequency intervals, stride intervals as well as speed intervals;acquiring the number of steps and the motion time of a user; acquiring step frequency, stride and speed according to the number of steps and the motion time of the user; and finally, determining thestride frequency interval where the stride frequency is located, the stride interval where the stride is located and the speed interval where the speed is located, and determining the motion type of the user according to the stride frequency interval where the stride frequency is located, the stride interval where the stride is located, the speed interval where the speed is located and the corresponding table. Therefore, judgment of the motion type of the user is achieved, the user can accurately know the running condition of the user, accordingly, running training arrangement is reasonably conducted, the running capacity of the user is better and scientifically improved, exercise injuries caused by unscientific training are avoided, and the health level of the user is improved.

The invention relates to a control system and a control method of fitness equipment. The fitness equipment is a treadmill. According to the method, stride frequency data of a target user on a running belt is obtained, when the stride frequency data reaches a threshold value range, a detection period is entered, average stride frequency data in the detection period is determined, if the average stride frequency data meets the threshold value range, the running speed of the running machine is adjusted based on a mode corresponding to the threshold value range, therefore, the speed of the treadmill is controlled based on the stride frequency, a problem that potential safety hazards exist when the treadmill is controlled through a remote controller or in a touch control mode in the prior art is solved, and safety and convenience of operating and controlling the treadmill in the exercise process are greatly improved.

A physical state detection method and system (400) based on a gait recognition device. The gait recognition device (410) is built in a cavity of an insole or a sole, and comprises a pressure sensor used to detect the pressure in the cavity. The detection method comprises: periodically sampling pressure measurement data output by the pressure sensor (S110); determining the change law of the pressure in the cavity according to the collected pressure measurement data (S120); recognizing gait information of a pedestrian according to the collected pressure measurement data and the change law of the pressure (S130), the gait information comprising the state of the foot falling to the ground, the stride frequency, the consistency of the paces, and the walking mode; and analyzing the state of the foot falling to the ground, the stride frequency, the consistency of paces, and the walking mode according to the preset detection rules to detect the gait-related physical state information (S140). The method can detect the pedestrian's physical state at any time and conveniently by means of the gait information, and facilitate users to conveniently grip the pedestrian's physical state, thereby improving the user experience.

The invention discloses an abnormal gait detection method based on the side gait video of a person. The side gait video is collected by a common ordinary camera or a mobile phone, and the characteristics of a person's stride change and body forward are extracted from the video, and the normal The characteristic information of gait trains a single classification support vector machine model, which can quickly and effectively detect whether the corresponding gait is normal or abnormal. The invention does not need special detection equipment, does not need to perform gait detection in a specific place, and has high flexibility. The present invention considers the characteristics of body leaning forward when extracting gait features from gait videos, and can effectively prevent the detection ability of the abnormal gait detection model from being affected by abnormal training data, thereby improving the detection accuracy. The present invention only needs to use the characteristics of normal gait information to train a single-category support vector machine model, has few training samples, and can quickly and accurately detect normal / abnormal gait, thereby assisting doctors in the diagnosis of abnormal gait and improving the work efficiency of doctors.

The invention discloses a gait rehabilitation training system based on rhythmic visual stimulation. The gait rehabilitation training system comprises a motion data acquisition module, a reference stride frequency test module, a stimulation rhythm generation module, a rhythmic visual stimulation generation module, an instant rhythm generation module and an instant entrainment visual stimulation module. The system can realize gait rehabilitation training in a home environment, and helps patients with gait disorders such as cerebral apoplexy and Parkinson's disease to adjust biological rhythmic activities of the patients through gait rehabilitation training. The invention further discloses a gait rehabilitation training method based on rhythmic visual stimulation.

The embodiment of the invention relates to the technical field of gait analysis, and discloses a method for estimating stride length and stride frequency and a device as well as a gait detector; wherein the method comprises the following steps: first gait information and second gait information are received; a first original stride frequency and a first original stride length are determined according to the first gait information; a second original stride frequency and a second original stride length are determined according to the second gait information; data of the first original stride frequency and the second original stride frequency are fused for obtaining a final stride frequency; and data of the first original stride length and the second original stride length are fused for obtaining a final stride length. This method can effectively reduce errors and improve the accuracy in calculating the stride length and the stride frequency during the human walking process.

The multi-mode lower limb multi-joint rehabilitation training device comprises a supporting frame unit, a lifting upper limb weight reduction device and a lower limb wearing mechanism are arranged in the supporting frame unit, and the lower limb wearing mechanism comprises a pedal module, a shank module and a thigh module. The lower limb wearing mechanism is arranged on the electromagnetic detachable standing platform, the training mode conversion platform mechanism is arranged below the electromagnetic detachable standing platform and comprises a movable first placement platform and a liftable second placement platform, a variable stride simulation walking mechanism is arranged on the first placement platform, and a variable stride simulation walking mechanism is arranged on the second placement platform. A gear type hip joint rehabilitation mechanism is arranged on the second placing platform. The problems that an existing rehabilitation training device is single in rehabilitation mode and cannot meet the requirements of a patient from single-joint rehabilitation training to composite multi-joint rehabilitation training are solved, meanwhile, the problem that a common rope winding mechanism is prone to rope disorder can be solved, and rope winding and unwinding errors are compensated.

The invention discloses a gait rehabilitation training system based on rhythmic visual and auditory stimulation. The system comprises a motion data acquisition module, a reference stride frequency test module, a stimulation rhythm generation module, a rhythmic stimulation generation module, an instant rhythm generation module and an instant entrainment stimulation module. The system can realize gait rehabilitation training in a home environment, and helps patients with gait disorders such as cerebral apoplexy and Parkinson's disease to adjust biological rhythmic activities of the patients through gait rehabilitation training. The invention further discloses a gait rehabilitation training method based on rhythmic visual and auditory stimulation.