893 results about "Step number" patented technology

The invention provides a pedestrian inertial positioning system based on indoor magnetic field feature assistance. The system comprises a magnetic field and inertial data obtaining module, a magnetic field positioning module, a pedestrian dead reckoning module, a positioning fusion module and an output module, wherein the magnetic field and inertial data obtaining module is used for acquiring magnetic field, accelerated speed and angular velocity information; the magnetic field positioning module is used for building a magnetic field feature library and carrying out time-frequency analysis on the magnetic field vector sequence in real time to extract the time-frequency feature, and matching with the magnetic field feature library to carry out magnetic field feature positioning; the pedestrian dead reckoning module is used for updating accelerated speed and angular velocity zero offset according to the condition that the step velocity discontinuity is zero during walking, judging the step number and calculating the step length and the direction of each step; the positioning fusion module is used for fusing a magnetic field feature positioning result and a pedestrian dead reckoning inertial positioning result by means of particle filter; and the output module is used for displaying a positioning result on web pages and terminals. The system provided by the invention has the characteristics of being independent from beacon during positioning, low in cost and consumption of positioning terminals, accurate in positioning result and adaptive to environment change.

The invention provides a pedometer and a program. whenever an output signal of an acceleration transducer is detected to a reducing from an increasing(e.g. being a peak value), the peak value is compared with a first threshold value, and a time interval between the peak value and the detection timing of the previous peak value is compared with a second threshold value to judge whether to count the step number, and then, the detected peak value is compared with a third threshold value greater than the first threshold value, and a time interval between the peak value and the previous peak value is compared with a fourth threshold value representing a time shorter than the second threshold value to judge the action type of users(e.g. running, walking or other state). Under the situation of being judged as running or walking, the falling steep degree of a wave form after appearing a peak in an acceleration time waveform is estimated according to the judged result, and the step number is added up according to each action type.

The invention relates to a multifunctional health status detection method and system, and belongs to the technical field of health detection. The multifunctional health status detection system comprises a bracelet, a mobile phone or computer and a server, wherein the bracelet is connected with the mobile phone or computer through Bluetooth 4.0, the mobile phone or computer is connected with the server through a network, the mobile phone carries out collection and analysis on the exercise time, the electrocardio waveform, the heart rate and the walking step number, the exercise time, the electrocardio waveform, the heart rate and the walking step number are uploaded by the bracelet, the test data of some time past are displayed, the function of actively searching for the bracelet is triggered, and information stored by the bracelet is automatically uploaded to the mobile phone or computer. By mining big data of walking step information and the electrocardio waveform, the server can provide the relation between the walking step information and the heart health degree, and give tips about the walking step number and the walking speed. The multifunctional health status detection method and system can be used for carrying out monitoring and alarm on the electrocardio status of people in the sub-health status, and therefore the morbidity of cardiovascular and cerebrovascular diseases is reduced.

A transmission mechanism of the continuously variable transmission comprises a set of primary and secondary pulleys between which a belt is provided. The CVT control unit is operable to supply line pressure directly to a secondary pulley and also to a primary pulley via a shift control valve associated with a step motor in such a manner as to control a transmission ratio. The CVT control unit calculates a standard step position of the step motor corresponding to the target transmission ratio and provides a command signal representative of a difference between the standard step position and the current position of the step motor. The shift control valve actuated by the step motor controls the pressure to be supplied to the primary pulley. The actual transmission ratio obtained on the basis of the rotation speeds of the pulleys is compared with the target transmission ratio. If the shift is not accomplished, the CVT control unit commands additional step number. Unless the shift to the HI side is accomplished at the time when the additional step number reaches the threshold value, the line pressure is increased so as to achieve the shift. Thus, the transmission normally operates with a low line pressure sufficiently to reduce a frictional loss at the contact areas of the belt and the pulleys, thereby resulting in an enhanced fuel economy.

The invention relates to system and method of walking speed measurement and transmission and aims at providing a pedestrian gait detection-based system and a method of walking speed measurement and transmission. The system comprises an acceleration detection unit comprising a double-spindle acceleration sensor and peripheral circuits, an acceleration processing unit, a gait analysis unit, a speed analysis unit, a wireless communication emission unit, a wireless communication receiving unit and an output terminal. The speed detection system has the advantages of lower cost, convenient use and installation, basically no limitations in use, and better real-time performance and external interfaces in comparison with the prior art. Gait characteristics can be extracted from acceleration data during human movement so as to detect the instantaneous speed, the average speed, the displacement distance, the movement time of and the step number.

The invention discloses a human motion state recognition method and device. The method comprises the steps that a three-axis acceleration sensor and a human body sign sensor are arranged in a wearable device; it is determined that a human body is in the walking state according to acceleration signals collected by the three-axis acceleration sensor, the number of walking steps of the human body is calculated, and the walking stride frequency is calculated according to the number of walking steps; the corresponding sign frequency in the walking process is calculated according to sign signals collected by the human body sign sensor; the calculated walking stride frequency and the sign frequency are compared with a stride frequency threshold value and a sign frequency threshold value, and when the walking stride frequency is larger than the stride frequency threshold value and the sign frequency is larger than the sign frequency threshold value, it is determined that the human body motion state is the running state, and the calculated walking step number is recorded as running step number; or, it is determined that the human body motion state is the walking state, and the calculated walking step number is recorded as the walking step number. According to the technical scheme, the human motion state recognition method and device can effectively distinguish the walking state and the running state of the walking state.

The invention relates to an optical three-dimensional measuring method based on a phase coding technology, belonging to the technical field of three-dimensional measurement. The method comprises the following steps of: (1) producing a grating coding stripe image by a computer; (2) projecting the grating coding stripe image by using digital projection equipment; and (3) acquiring the grating coding stripe image and performing coding solution and three-dimensional measurement by adopting a phase-shift algorithm. The method is characterized in that: the number of pixels in each grating period of the grating coding stripe image equals to the step number of the adopted phase-shift algorithm; the gray scale of the pixels in each grating period of the grating coding stripe image meets sine or cosine curve distribution, and the gray-scale value of the pixels are extreme points of the corresponding sine or cosine function. Compared with the traditional sine phase-shift coding method, the method has strong interference resistance to the nonlinear influence of gamma rays of the digital projection equipment, the coding has higher stability, reliability and correctness, and the method is important in the aspect of accurate measurement of an optical three-dimensional outline on the external surface of an object.

The invention relates to an indoor positioning method based on fuzzy theory and multi-sensor fusion. The indoor positioning method is technically characterized by comprising the steps of according to multiple sensors arranged in an intelligent mobile phone, acquiring data of an acceleration sensor, a gyroscope and a barometer of the intelligent mobile phone firstly, and then the fuzzy theory is applied to the acquired data, speculating the motion state, step number and step length of a pedestrian so as to obtain the calculated position information; meanwhile, acquiring the user height from the information of the barometer; and establishing an indoor environment magnetic field map, acquiring information in real time by utilizing the indoor environment magnetic field map and magnetic field sensors, matching magnetic fields through the fuzzy theory and correcting the calculated position information to obtain the final position of the pedestrian. According to the method, the indoor positioning robustness is promoted through two aspects of multiple intelligent mobile phone carrying methods and processing of different step lengths. Through the matching of the fuzzy theory of the magnetic field, the accumulated errors can be reduced, the accuracy is improved, and the system complexity can be lowered.

The invention discloses an indoor accurate positioning system and a method thereof. The method comprises the following steps: an air pressure sensor module, an electronic compass module and an electronic pedometer module are added based on the existing mobile terminal positioned by virtue of a GPS; when a GPS signal disappears, the mobile terminal transmits starting-point coordinate information, real-time air pressure information, two-dimensional plane azimuth information and mobile step-number information to a background server by a wireless network; and storey and position information of the mobile terminal are obtained by calculation on the background server and a storey map and specific positions are shown by the mobile terminal. In the invention, any wireless transmitting equipment and positioning signal transmitting equipment do not need to be preset indoors, thus achieving positioning in some specific storey in indoor environment with multiple stories and accurate positioning in some specific position on the storey; and the invention has high precision, lower cost and strong practicability.

Provided is an automatic focusing method and a focusing system of a camera. The camera comprises a light sensing element, a focusing lens and a stepping motor. The light sensing element is used for imaging of an object to be shot. The focusing lens is used for adjusting imaging definition. The automatic focusing method includes the following steps: shooting the object to be shot to form an image, calculating first definition of the image, driving the focusing lens to move from first position to the next position with first step number, repeating the above process, determining the position of the focusing lens at the time when the first definition is highest to be first focusing position, driving the focusing lens to move to a third end portion, shooting the object to be shot to form an image, calculating second definition of the image and driving the focusing lens to move from the second position to the next position with second step number, wherein the second step number is smaller than the first step number. The method further includes repeating the process, determining the position of the focusing lens at the time when the second definition is highest to be the second focusing position and driving the focusing lens to move to the second focusing position. The method and the system are capable of accurately and quickly obtaining the optimum focusing position.

The invention discloses a performance prediction method applicable to dynamic scheduling for a semiconductor production line. An extreme learning machine (ELM) is applied to prediction and modeling in the performance prediction method. Feeding control and scheduling rules are considered in a unified manner in the method, short-term scheduling key performance indexes such as an equipment utilization rate and a movement step number are predicted on the basis of a real-time state of a system, and a foundation is provided for dynamic real-time scheduling. A novel feed-forward neural network of the ELM is introduced into the semiconductor manufacturing system, and a prediction model is built by the aid of available data of the production line. As shown by test results, ideal prediction results can be quickly acquired by the method implemented by the aid of the ELM, the method has obvious advantages and an obvious application prospect in the aspects of parameter selection and learning speed as compared with the traditional neural network modeling method, and a new idea is provided for online optimal control.

The invention discloses a determination method and a device of movement distance. According to the invention, APP in a mobile terminal is used for acquiring a plurality of state corresponding relationships, step number corresponding relationships, and distance corresponding relationships; step length key values are determined based on the plurality of the state corresponding relationships, the step number corresponding relationships, and the distance corresponding relationships, and are stored in a memorizer of the mobile terminal; when it is determined that positioning information of the mobile terminal is not capable of satisfying positioning requirements, real-time movement states and real-time step frequency of the user are determined; the real-time movement states and the real-time step frequency are taken as matches, and real-time matching with the step length key values stored in the memorizer is carried out; user movement distance is calculated based on the step length of matched step length key values, and the movement distance is accurately calculated based on step length and step frequency. The determination method is capable of increasing accuracy of movement distance determination using APP when it is impossible to relay on the positioning information, and user experience is excellent.

The present invention provides a calculating method for distance between a photographed object and a real scale, which can be applied to a picture searching device. First of all, a relation-corresponded table is established, which is provided with focal step numbers and object distances (the distance between the picture searching device and the photographed object); next, the real scale can be gained by directly looking up the table after focusing. On the condition that the object distance and an image distance are known, an object height (the real scale of the photographed object) can be easily worked out by using a calculating formula ''an object distance/an object height equals to an image distance/an image height''; because the image height of the photographed object can be gained by the size of the corresponded pixel of the picture searching device and calculating.

The invention discloses a variable-field scanning microscopic method based on a fixed optical path system, and a device thereof. At first, a beam expanding system is used for uniformly expanding laser beams which are transmitted from a laser so as to form uniform laser beams; then a two-dimensional space discrete system is used for the two-dimensional space discretization of the uniform laser beams so as to form a sub-beam of M multiplied by N; the sub-beam of M multiplied by N orderly passes through a collimating lens, a scanning galvanometer, a reflector, a dichroic mirror and a fluorescence microscope, and then focuses on the sample on a sample platform; thus the excited fluorescence can be formed on the sample; the fluorescence microscope is used for collecting the excited fluorescence, which is transmitted into an imaging system after being reflected by the dichroic mirror and focused by a focusing lens. The scanning of the galvanometer and the crossing movement of the sample platform are combined: the scanning step length and the scanning step number of the galvanometer are changed; the area of the unit viewing field is used as the step length to move the sample platform; thus the scanned viewing field can be changed. The scanning microscopic method realizes the flexible switching between the low-resolution large viewing field and the high-resolution small viewing field, and satisfies the requirements in different biomedical applications.

The invention discloses a method for establishing an automatic driving lane changing decision model in a hybrid driving environment, a multi-step dynamic game lane changing model of an automatic driving vehicle LV and a human driving vehicle RV in the hybrid driving environment are established, and a set of nested game algorithm for the automatic driving vehicle is designed. The method comprises the following steps: firstly, establishing a multi-step dynamic game framework; enabling the vehicles of the two parties to decide the following action according to the strategy selection of the otherparty; defining potential conflict points of the lane changing vehicles and the rear vehicles of the target lane; formulating starting and ending condition criteria of the game according to the initial information of the vehicle, the strategy and the game step number; and then enabling the two vehicles to use respective strategy and acceleration selection methods to carry out dynamic gaming untilthe lane changing termination condition is met, so that under the condition that the automatic driving vehicle does not meet the condition of direct lane changing, the lane changing space can also bemanufactured through the game playing with the human driving vehicle, and safe lane changing is achieved.

To carry out step number measurement more precisely even when a walk signal enough to be detected is not obtained. After a fixed noise of a signal detected by an acceleration detecting portion having an acceleration sensor is removed by a filter portion of a counting portion, a walk cycle comparing portion compares a cycle of the resultant signal with a moving average value calculated by a walk cycle calculating portion, and each signal within a predetermined cycle range is counted as the number of steps for one step by a step number counting portion. A signal within a range similar to a cycle n times as large as a predetermined cycle of the signals each beyond the predetermined cycle range is judged as the number of steps for n steps by an extra-regulation step number processing portion and is counted as the number of steps for n steps by the step number counting portion. Data on the number of steps obtained through the counting in the step number counting portion is displayed on a display portion.

The invention discloses a step counting method and apparatus based on a tri-axial acceleration sensor. The method comprises the following steps: detecting a peak point and a valley point in a waveform of a target acceleration signal, determining the peak point and the valley point as well as the number of the peak points and the number of the valley points according to a detection result, using the number of the peak point or the valley point as a step frequency feature, determining a motion type of a person according to the step frequency feature, determining a target peak point and a target valley point in the waveform of the target acceleration signal by using a preset time window and preset peak-valley value window corresponding to the motion type, and using the number of the target peak points or the number of the target valley points as the step number of the person motion. According to the method, different motion states of the person can be judged by extracting the step frequency feature of the person, and the interference can be effectively eliminated by using the characteristic that each motion state correspondingly has different time windows and peak-valley value windows, so that the calculated step number is more accurate.

The invention relates to a healthy diet monitoring system and method based on a cloud platform. The system comprises an intelligent terminal, a step counting terminal and a cloud server, wherein the intelligent terminal is used for uploading personnel basic information input by a user to the cloud server and displaying information fed back by the cloud server, the step counting terminal collects the number of movement steps of the user, sends the number to the intelligent terminal to be displayed to the user and meanwhile uploads the number to the cloud server through the intelligent terminal, and the cloud server is used for comprehensively analyzing the personal basic information and the movement step number information of the user so as to calculate the everyday total consumption of the user, then generating a next day diet suggestion according to the everyday total consumption, and sending the suggestion to the intelligent terminal to be displayed. By means of the system and the method, the three-meal diets and extra meal food for the whole next day are recommended from a cloud food base according to the calculated everyday total consumption, and ethnic taboo food, allergenic food and food avoided for chronic diseases are not recommended through selection; food produced in season are recommended as much as possible according to seasons, and finally the reasonable healthy diet is transmitted back to an intelligent terminal APP to be displayed to the user.

This invention is directed to prevention of reduction of a pickup rate of an electronic component when a component feeding unit is dismounted from a feeder base and mounted back thereon. A CPU sends a feeding command to a component feeding unit feeding an electronic component belonging to a first step number, and drives a servomotor and a drive motor of the feeding unit to perform a component feeding operation and so on. After then, when the CPU judges that the feeding unit is dismounted from the feeder base and mounted back thereon, the CPU drives a X axis drive motor and a Y axis drive motor to move a board recognition camera to the pickup position of the feeding unit, the camera takes an image of a storage portion of a storage tape, and a recognition processing device performs recognition processing to the image. A correction value based on this recognition result is stored in a RAM, the X axis drive motor and the Y axis drive motor are driven taking this correction value into account, a vertical axis drive motor is driven, and a suction nozzle lowers and picks up the electronic component.

The invention discloses an indoor fusion positioning method based on multi-features. The whole process of the method is divided into three parts such as Wi-Fi fingerprint probability calculation, inertial navigation calculation and particle filtering fusion, wherein the Wi-Fi fingerprint probability calculation uses a cosine similarity matching algorithm, the inertial navigation calculation is divided into three parts such as step number calculation, step size calculation and walking direction estimation, the step number calculation uses methods such as walking detection, center moving equating, window wave peak detection, dynamic time regularization, derivative analysis filtering and wave peak resurrection, the step size calculation uses a step size and step frequency relationship model, the walking direction estimation uses the time and frequency zone analysis of a horizontal direction acceleration and strategy adjusting based on a gravity direction, and finally in the particle filtering fusion part, the hidden markov model constructed based on the inertial navigation and the Wi-Fi fingerprint probability uses the particle filtering method and combines with the map information to calculate the position probability so as to finally obtain the positioning result.

The system includes lens unit, image-sensing device, focusing mechanism, focusing and sensing device, control unit and flash unit. The method includes steps: using the focusing and sensing device senses and measures step number of motor rotation in focusing mechanism in focusing procedure; sending the step number to the control unit; the control unit compares the step number measured with the conversion table, which is input to and stored on the control unit in advance, between step number of motor rotation and distance of object to be shot so as to determine distance between the object to be shot and camera; calculating guide number of flash lamp in order to control flash lamp to emit most suitable light quality, and let photo obtain correct exposure. The invention controls and adjusts flash output accurately to reach correct exposure under condition of low cost and low power consumption.

The invention discloses a method, a device and a system for adjusting a camera back focus. The method comprises steps: during a process during which a stepping motor drives an image sensor to move along a preset direction according to a first preset step number, multiple frames of images acquired by the image sensor are acquired; evaluation value calculation is carried out on each frame of image, and a definition evaluation value of each frame of image is generated; according to the definition evaluation value of each frame of image, a change rate of the definition evaluation value is calculated and obtained; when the change rate of the definition evaluation value is larger than or equal to a first threshold, the stepping motor drives the image sensor to move according to a second preset step number; and during a process during which the image sensor moves along the direction the same as the preset direction according to the second preset step number, if the definition evaluation value of the image acquired by the image sensor reaches a peak value, the image sensor reaches a position with the most clear focus. Thus, the problem of a slow speed during focusing adjustment by the camera in the prior art is solved.

The invention aims to solve the problems of energy consumption and high cost in milling processing caused by improper selection of processing technological parameters, and discloses an energy-efficiency-oriented multi-step numerical control milling process parameter multi-objective optimization method. The invention purpose is realized through the optimization of spindle rotation speed n, feed engagement fz, cutting edge back engagement ap, milling width ae and step number m in the milling process.