38 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 an elderly lower limb rehabilitation training assessment method and system based on enhanced training, and relates to the technical field of intelligent exercise rehabilitation assessment, and the method comprises the following steps: S100, building an individual rhythm observation system, continuously collecting lower limb muscle contraction rhythms and stride rhythms, generating a rhythm data set, and storing the rhythm data set; a complete rhythm fingerprint band is extracted from the rhythm data set to serve as a benchmark reference for frequency regulation and control; and S200, performing micro-amplitude frequency sweeping based on the rhythm fingerprint band, analyzing rhythm data changes in real time, identifying fine vibration peak characteristics in rhythms, calibrating a phase overlapping region, and generating a rhythm segment. According to the method, through the steps of rhythm fingerprint construction, risk rhythm recognition, buffering and energy dissipation introduction and the like, dynamic regulation and control of the lower limb rehabilitation training rhythm of the old people are achieved, high-frequency resonance is avoided, the injury risk is reduced, and the training safety and the individual rhythm adaptability are improved.

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 relates to the technical field of blind guiding robot gait stability control, and particularly discloses a blind guiding robot gait stability control method fusing IMU and foot end force perception, and the method comprises the steps: collecting three-dimensional point cloud data through a head depth camera, analyzing topographic features, and generating topographic safety confidence; the physical rigidity of the dielectric elastomer ankle joint is further adjusted; in the single-foot supporting stage, plantar pressure and trunk inertia data are synchronously collected, a real-time plantar interaction snapshot is generated, and when the instability risk is detected, the ankle joint rigidity is immediately locked to resist abnormal rotation; then, the plantar pressure abnormal direction is recognized, and the mass center compensation adjustment amount is calculated to stabilize the body posture; and finally, according to the amplitude and frequency of mass center compensation, evaluating the matching degree of the gait strategy and the road condition, dynamically adjusting the stride and the leg lifting height, and generating optimized gait parameters. The invention aims to improve the walking stability and safety of the robot in a complex environment.

The invention discloses a method and medium for intelligently identifying the safety state of electric power personnel based on stride measurement. The method includes: detecting and tracking each person's enclosing frame in a video screen based on a multi-target tracking algorithm and assigning a person ID number; Input the key point detection algorithm of the image to obtain the key points of the left and right ankles of the human body and associate the bounding box of the person; determine the bounding box of the person whose stride is to be measured and obtain the corresponding key point data of the left and right ankles, choose to measure the ankle, and measure the key points of the ankle Determine and measure the current motion state of the ankle, calculate and measure the moving distance between two adjacent static states of the ankle, record it as the personnel stride, and generate personnel status information; generate personnel safety status based on personnel status information and preset safety rules information. The present invention does not require additional manual intervention, and only needs to collect test pictures in real time through the camera without wearing other hardware devices. It has fast running speed, convenient deployment and is applicable to different scenarios.

A platform array of multiple axial forces is composed of the installing tracks, 1-4 platforms of 6 axial forces, surface covering layer, network interface module, and network data acquisition card. A method based on said platform array for testing, analyzing and evaluating the balance power, coordinating power and nerve system of human body is also disclosed, which features that the information about the force / force moment of said platform array is acquired by computer, where they are processed to obtain the information about walking state.

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 discloses a training rehabilitation equipment pressure detection method. The method comprises the following steps: acquiring piezoresistance data of a sensor; calculating a pressure value; acquiring motion parameters; and evaluating the training effect. According to the technical scheme, 10 Hz ADC sampling and left and right partition sensors are adopted, the pressure detection error is smaller than or equal to 0.5 kg, and the motion parameter delay is smaller than 100 ms; bluetooth / NFC dual-mode connection is integrated, a mobile phone APP is supported to check data in real time, the thickness is smaller than 20 mm, and the device adapts to family and professional training scenes; pressure and stride frequency are monitored, and through left and right foot balance analysis, response time evaluation, stride frequency, explosive force, grounding time under movement and left and right balance of a movement state are recovered, so that movement injuries (such as sprains caused by uneven stress of ankle joints) are prevented in an auxiliary manner; the compression resistance of the TPU supercritical foaming material is 20% better than that of traditional EVA, seamless integration of the sensor and the pad body is achieved through the plastic embedding technology, and the foot-cracking feeling is avoided.

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.

The invention provides a calculation method of gait spatio-temporal parameters based on a portable gait analysis system, including calculation of time parameters and calculation of space parameters. The speed and position information obtained by integrating and calculating the sensor data contains errors accumulated over time, which improves the accuracy of gait parameter calculation and solves the problem that the plantar pressure analysis method cannot calculate gait space parameters, such as stride, walking The beneficial technical effect of the problem of distance, walking speed.

The invention discloses an exercise monitoring system and method based on stride frequency, and relates to the technical field of exercise equipment. The exercise monitoring method based on stride frequency includes the steps that an information collection terminal collects and stores the real-time stride frequency of a user in the exercise state, average stride frequency is acquired according to the stored real-time stride frequency within a time period T1, and the average stride frequency is sent; a display terminal receives the average stride frequency and determines whether or not the average stride frequency is in an effective stride frequency range, when the average stride frequency is in the effective stride frequency range, the time period T1 corresponding to the average stride frequency is reckoned into effective exercise time, or when the average stride frequency is not in the effective stride frequency range, warning information is output. By means of the method, the effective exercise time can be precisely worked out, a corresponding warning prompt can be given according to the current exercise intensity of the user, and thus accidents caused by over-high exercise intensity are avoided.

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.

This invention discloses an interactive sports training assessment method and system, belonging to the field of sports training assessment technology. The invention utilizes a data acquisition module to collect athletes' physical condition data, stride length data, stride frequency data, and center of gravity shift data in real time. Then, a data processing module sequentially calculates and outputs a stride length score (BH), an overall movement quality score (ZT), and a new ideal stride length (LB). new Using the results feedback and adjustment module, the new ideal stride length LB is adjusted. new The results are compared with the ideal stride length (LB) obtained from the stride length data, and the correction is evaluated. The new ideal stride length (LB) is then replaced with the new ideal stride length (LB) in the next training session. new This invention enables athletes to make targeted improvements, and reasonable stride length, coordinated stride frequency and stable body center control help improve running efficiency. The ideal stride length (LB) is optimized in real time based on the overall running motion quality, so that training can be flexibly interactive and adjusted according to the athlete's real-time performance, thereby continuously improving training effect and athletic performance.

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.

A method of operating a modifiable gravity exercise system for an interactive exercise session of a user is provided, in which the system includes a stride surface, a wearable interface adapted to couple the user securely to the stride surface, an adjustable resilient support connected to the stride surface extending over the stride surface to secure the user, and a control computer adapted to perform the method and control the MG exercise system to perform the interactive exercise session. The method includes conducting exercise operations of the interactive exercise session, providing the first gravity environment such that the user has the first effective BW in the first gravity environment with respect to the stride surface within a default range, and automatically modifying the first gravity environment that provides the first effective BW to a second gravity environment that provides a second effective BW for the user within the default range.

The invention discloses a multi-view-angle-based multi-dimensional monitoring method and a multi-view-angle-based multi-dimensional monitoring system for basketball rod-around motion, and belongs to the technical field of computer vision and physical training monitoring. The objective of the invention is to solve the problems of low violation judgment accuracy and lack of quantitative motion indexes caused by a shielding blind area existing in single-view-angle monitoring. According to the technical scheme, the method comprises the following steps: synchronously acquiring video streams through at least two distributed cameras; human body key points, basketballs and marker posts are detected by adopting a lightweight deep learning model, and multi-view detection results are fused based on a majority voting mechanism; fourier stride frequency calculation and knee joint angle fluctuation analysis technologies are fused, and a multi-dimensional monitoring system capable of automatically recognizing various illegal behaviors such as rod winding missing, walking and wrist turning and synchronously quantifying stride frequency, joint angles and other indexes is constructed. The system is mainly used for automatic guidance and special physical examination of basketball pole winding training.

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.