30 results about "STRIDE" patented 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 a gait self-adaptive control method and system for a hemiplegic patient, and the method comprises the steps: detecting an angle theta a of a normal leg side, and obtaining current stride information theta st and step speed information omega s; integrating the angles theta a in the continuous time into an action curve, and comparing the action curve with a predefined action curve to obtain a preset action of the next gait; obtaining an action curve of the next gait according to the preset action of the next gait, the current stride information theta st and the current step speed information omega s; and controlling the action of the affected leg side according to the action curve of the next gait. The method has the advantages of simple and reliable control, self-adaptive control, mirror image control and the like.

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.

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 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.

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.