233 results about "Step count" patented technology

In a multi-level cell memory array, a flag that indicates that a logical page is unwritten is subject to a two-step verification. In a first verification step, the logical page is read, and ECC decoding is applied. If the first verification step indicates that the logical page is unwritten, then a second verification step counts the number of cells that are not in an unwritten condition.

Aspects relate to calculating energy expenditure values from an apparatus configured to be worn on an appendage of a user. Steps counts may be quantified, such as by detecting arm swings peaks and bounce peaks in motion data. A search range of acceleration frequencies related to an expected activity may be established. Frequencies of acceleration data within a search range may be analyzed to identify one or more peaks, such as a bounce peak and an arm swing peak. Novel systems and methods may determine whether to utilize the arm swing data, bounce data, and / or other data or portions of data to quantify steps. The number of peaks (and types of peaks) may be used to choose a step frequency and step magnitude. At least a portion of the motion data may be classified into an activity category based upon the quantification of steps.

Power savings are aimed by controlling display of a step count with no additional hardware. An acceleration sensor detects that a user is taking a step through an amplifier circuit, and outputs a walking signal corresponding to the step to a CPU. The CPU counts walking signals, and displays the accumulated number of steps on a display unit. When the CPU determines that the user is taking steps based on the walking signals, the CPU stops drive power from a battery to the display unit, and controls the display unit to stop displaying a step count.

The invention, relating to the field of wireless positioning and inertial navigation, provides an inertial navigation system based on a smart phone and a method thereof. The method is characterized by designing a step count algorithm based on a limit state machine to calculate the steps of a person and acquire the beginning and ending time stamps of each step, and calculating the direction change of each step of the person according to the data read by a three-axis gyroscope and the beginning and ending time stamps of each step; according to different accelerated speeds generated by people having different step sizes, estimating the step size of the person; then according to the coordinate of the starting point of the path and by combining the step size and the direction change, calculating the coordinate of each step relative to the starting point of the path; and acquiring the movement track of the person by the coordinate of each step relative to the starting point of the path. According to the invention, high precision of inertial navigation can be achieved with no need for a high precision expensive inertia sensor, the accuracy is high, the practicality is strong, the versatility is wide, and the cost is low.

Disclosed is a drilling device and a method for the drilling of human or animal bone tissue. The method comprises the following steps; (a) providing a drill having an electrically conductive bone cutter and an electrically conducting nosepiece assembly spaced apart from the electrically conductive bone cutter and acting as a counter electrode; (b) placing the electrically conductive bone cutter and nosepiece assembly into contact with the bone tissue to be drilled; (c) measuring the electrical impedance between the bone cutter tip and the nosepiece or the current through the cutter motor; (d) commencing drilling and moving the bone cutter toward the bone surface; (e) starting a step counter when the impedance reduces or the cutter motor current increases; (f) incrementing the step counter with every step of the vertical drive motor until the step count reaches the prespecified value thereby controlling the depth of the hole drilled.

The invention provides a step-counting method based on an acceleration sensor. The step-counting method comprises the following steps: (1) obtaining amplitude values of linear acceleration vectors which are collected in a walking process in real time based on the acceleration sensor; (2) initializing a state machine, dividing a process of walking for a step of people into a plurality of stages, wherein each stage uniquely corresponds to one state in the state machine and thus the walking process of people corresponds to state transition in the state machine; and (3) inputting the amplitude values of the linear acceleration vectors which are obtained in the step (1) into the state machine according to a timing sequence, triggering the state transition of the state machine and obtaining a step-counting number according to cycles of the state transition. The step-counting method is capable of accurately counting steps by overcoming influences of vibration and shake of the sensor.

A game system includes a plurality of pedometers. The plurality of step count data respectively counted by the plurality of pedometers are acquired in the game apparatus. In the game apparatus, by utilizing the plurality of step count data, a predetermined arithmetic operation is executed, and the result of the arithmetic operation is reflected on the game. Alternatively, in a server, a predetermined arithmetic operation is executed by utilizing the plurality of step count data, and the result of the arithmetic operation is reflected on the game in the game apparatus. For example, game processing depending on the number of players walking in the same time slot is executed, or game processing according to the totalized value of the accumulated total step count values of the plurality of pedometers is executed.

The invention provides an automatic calibration method of a stepping motor. The automatic calibration method includes: acquiring an actual step count value when a probe reaches a central point of a constant speed area within a current period; on the basis of the actual step count value and preset step number, acquiring step number errors caused by step loss of the stepping motor in an acceleration area and overshoot in a deceleration area within the current period; adopting the step number errors for step number compensation in a next period. By the automatic calibration method, the problem of angle deviation of the stepping motor without a coded disc in the process of quick rotating can be solved, movement position of the probe in the constant speed area can be ensured to be consistent with expectation, the probe can be maintained to collect images in a preset area without angle deviation, and speed of the stepping motor in the constant speed area can be improved while movement accuracy of the probe in the constant speed area is guaranteed.

Methods and systems for determining a user's steps in portable device include deriving amplitudes from raw sensor data; comparing the amplitudes to an amplitude threshold, and counting a step when one of the amplitudes exceeds the amplitude threshold to obtain a step count; determining a current gait type based on the step count; dynamically adjusting the amplitude threshold in order to reduce effects of swinging movements and false steps; and applying a post filter to the step count based on time between steps and a minimum number of prior consecutive steps to derive a filtered step count that reduces false readings due to short bursts of rapid movement by the user.

Provided is a step counter including a right angle sensor that outputs a right hip joint angle signal indicating a right hip joint angle of a user; a left angle sensor that outputs a left hip joint angle signal indicating a left hip joint angle of the user; a generating section that generates an angle difference signal indicating change over time of an angle difference between the right hip joint angle and the left hip joint angle, based on the right hip joint angle signal and the left hip joint angle signal; and a calculating section that calculates a step number of the user based on a difference signal generated from a difference between filtered signals resulting from the angle difference signal being applied to at least two different filters.

Provided is a step assist device including a first phase angle modifying section that, according to repetition of the step movement, modifies in a staged manner the phase angle input thereto, based on a predetermined phase change pattern, such that a phase pattern of the phase angle approaches a straight line relative to the passage of time, and outputs the modified phase angle as a first modified phase angle. The control section acquires a target value based on a continuous change pattern of the auxiliary force set in advance for at least one of the first modified phase angle and a prescribed phase angle, and controls the providing section according to the target value.

The present invention extends to methods, systems, and computer program products for formulating global statistics for parallel databases. In general, embodiments of the invention merge (combine) information in multiple compute node level histograms to create a global histogram for a table that is distributed across a number of compute nodes. Merging can include aligning histogram step boundaries across the compute node histograms. Merging can include aggregating histogram step-level information, such as, for example, equality rows and average range rows (or alternately equality rows, range rows, and distinct range rows), across the compute node histograms into a single global step. Merging can account for distinct values that do not appear at one or more compute nodes as well as distinct values that are counted at multiple compute nodes. A resulting global histogram can be coalesced to reduce the step count.

The invention provides a detection method and a detection apparatus for abnormal step counting in an exercise monitoring device and relates to the field of exercise monitoring. The detection method includes the following steps: 1) acquiring an acceleration signal within a preset time section of the exercise monitoring device; 2) pre-treating the acceleration signal to obtain a pretreated acceleration signal; 3) performing feature value extraction to the pretreated acceleration signal to obtain at least one feature value; 4) performing sample entropy calculation to the feature value to obtain a sample entropy value; and 5) if the sample entropy value is less than or equal to a first preset threshold value or is more than or equal to a second preset threshold value, determining data recorded in the exercise monitoring device to be abnormal step counting. In the method, the abnormal step counting is recognized by calculating the sample entropy to the feature value of the acceleration signal during walking, thereby increasing accuracy of the exercise monitoring device in step counting.

The invention discloses an electric pedometer based on approaching type sensing, and relates to an electric step count set for counting a user's walking steps, in particular to an electric step count set based on approaching type sensing. The electric pedometer aims to enhance the user's enthusiasm to walking exercise and improve the user's health conditions. The technical scheme includes that distance of hands swing or legs intersection can change corresponding to chest or the other leg when people walk; distance change between hands or legs in walking can trigger the pedometer to count, store and display relative data when the user puts an approaching sensor at wrist or legs; data can be transmitted to a terminal to be further processed; and when the user permits, the data can be shared through Internet to acquire better fitness suggestions and encourages so as to enhance the users' fitness-keeping enthusiasm.

A control method that conveys a recording medium fed from a first conveyance unit a specific number of paper feed steps after the leading end is detected by a first detection unit, and stops conveyance after conveying the leading end of the recording medium passed the second conveyance unit, second detection unit, and print unit to an initial printing position has a reference distance acquisition step that gets a reference number of conveyance steps equal to the distance between the second detection unit and the initial printing position in the specific number of conveyance steps; an actual step count measurement step that measures an actual number of steps the recording medium is conveyed during actual conveyance from detection of the leading end by the second detection unit until conveyance stops; and an evaluation step that determines if paper feed error occurred when conveying the recording medium.

The invention discloses a step-counting interference removal method and device. The method comprises the following steps: acquiring a sampling data segment obtained through an acceleration sensor in a sampling manner, and acquiring n extreme points in the sampling data segment, wherein the extreme points comprise peak points and trough points; judging whether a difference value between amplitudes of the maximum peak point and the minimum trough point in the a extreme points is less than a step-counting threshold or not, wherein a is less than n; if the difference value is greater than or equal to the step-counting threshold, judging whether a difference value between the maximum peak point amplitude and a gravity acceleration is less than a first threshold in the neighborhood of the ith peak point, if the difference value between the maximum peak point amplitude and the gravity acceleration is less than the first threshold, determining that the peak point in the neighborhood of the ith peak point is an interference point, removing the peak point and the trough point in the neighborhood of the ith peak point, and counting the rest of the peak points to obtain counted steps.

The invention discloses a method, an apparatus and a system for preventing cheat during step count. The method comprises the following steps: acquiring amount of steps collected by accumulation of a step counting sensor in an intelligent wearable device; counting collected step number at every preset time interval, calculating difference values between adjacent two counted step numbers, and obtaining a step increment in each preset time interval; determining whether step counting is suspected to be cheated according to the step increment in each preset time interval, if step counting is suspected to be cheated, acquiring heart rate data collected by a heart rate sensor in the intelligent wearable device, and confirming whether the step counting is really cheated according to heart rate data. The method fills the blank for preventing users cheating in the aspect of step count in the prior art, provides a real sports rank; prevents deviation appeared in evaluation of user health state due to step count data errors; and prevents improper incomes obtained by cheating in step count matches which causes losing match meanings.

An exercise mode automatic identification method is provided. The automatic identification method includes the following steps. A step count taken by a user is obtained. A horizontal transient speed at which the user moves at the end of a predetermined period is obtained. The user's exercise mode is defined by a microprocessor according to the step count and the horizontal transient speed.

The invention discloses a step counting method based on a micromechanical gyroscope. A reference coordinate system is established with the center of the human body as a coordinate original point, theZ axis points to the vertical direction, the X axis points to the forward direction of a person, the Y axis points to the left side, and the right-hand rule is accorded with; the micromechanical gyroscope is placed on the thigh of a pedestrian, and a sensitive shaft of the micromechanical gyroscope is parallel to the Y axis; the movement state of the pedestrian is determined by detecting whether or not the micromechanical gyroscope has periodic output, and the number of walking steps of the pedestrian is calculated. The step counting method based on the micromechanical gyroscope is complete infunction and easy to implement, has an obvious effect and can replace a commonly-used step counting method based on an accelerometer; the method is applied to a navigation positioning system, the accelerometer special for step counting can be omitted, and the method has a great significance on simplifying the system and saving the cost.

The invention relates to a step counting method with self-learning capability. The step counting method is characterized in that the walking speed of a current user is automatically calculated and is compared with that of ordinary people in a natural state, and a step counting threshold value is automatically changed according to the deviation condition, so that the effect of accurately counting the steps can be realized. The method comprises the following steps of calculating the step number of the current user within 5 minutes or longer time according to a preset step counting threshold value, comparing the calculated step number with the step number range of ordinary people in the natural state in the same period, automatically correcting the step counting threshold value according to the deviation condition, and repeating the process until the deviation is 0. The step counting method with self-learning capability is suitable for multiple sensors, is low in requirement on wearing, and is still capable of accurately counting the steps after the user is replaced.

The present invention related to the area of lifestyle devices, particularly to pedometers used for exercise tracking. This invention aims at accurate recording of steps, speeds, distances, type of motion (walk and run) and calories expenditure, independently of the personal characteristics (age, gender, weight and height). The invention uses sub-band decomposition filters that produce non-distorted sine wave regardless of personal traits and the type of walking or running. Low-complexity zero-crossing step detection is subsequently applied, and the step length and energy expenditure information is then extracted. The method for goals tracking is included for independent types of goals: steps, energy, distance and duration.

The invention belongs to the technical field of communication and electrons, and discloses a step counting method based on a mobile terminal. The step counting method includes the steps that when it is detected that the mobile terminal is powered on, a pedometer is started, a monitoring module is started, step counting data of the pedometer is obtained through the monitoring module in real time, and when it is detected that the step counting data of a step counting database needs to be updated, the newest step counting data obtained through the monitoring module is sent to the step counting database. According to the step counting method and device based on the mobile terminal, and after it is detected that the mobile terminal is powered on, the pedometer internally arranged in the mobile terminal is automatically opened in the background; meanwhile, the monitoring module is started to monitor the pedometer at any time, and when the updating request of the step counting database is detected, the monitored newest step counting data is sent to the step counting database. By means of the embodiment of the step counting method and device, the problems that the pedometer is used when WeChat sport is not opened, or as the problem of the WeChat sport appears, the step counting data is not increased are solved.

Partial optimization systems and methods of wavelengths or spectrum in an optical network include, based on current services in the optical network each having a route and wavelength assignment and based on a ratio of services that can be changed in the partial optimization, preforming a first stage optimization to determine which of the current services are changed for one or more of the route and the wavelength assignment to attain a reduction of a number of wavelengths; performing a second stage optimization to determine an order of implementing changes from the first stage optimization that with the order minimizing one or more of conflicts and step counts; and causing implementation of the changes in the optical network.

Provided is a portable electronic device that has a pedometer function wherein generation of counting errors has been suppressed. The portable electronic device is provided with a housing, an acceleration-detecting unit that is mounted in the housing, a counting unit that counts the number of steps based on temporal changes in acceleration detected by the acceleration-detecting unit, and a correcting unit that corrects the number of steps counted by the counting unit.

A method for providing a customizable workflow process is provided. The method includes receiving, via a network, a request from a user, wherein the request comprises at least an entity ID associated with the user and an application ID associated with the workflow process, obtaining, by a processor, a step related to the workflow process from a database, based on the request, wherein the step comprises at least a step count identifier and step information, executing, by the processor, the step based on the step information to generate step results, determining, by the processor, based on the step results and an incremental step counter, a subsequent step to be executed in the workflow process, and storing, by the processor, the results of the workflow process.

A self-generating electricity step-counting shoe comprises an upper, a front sole and a back sole, wherein the front sole and the back sole comprise a front power generation device and a back power generation device respectively, wherein the front power generation device and the back power generation device are embedded in the front sole and the back sole, and the front sole and the back sole are both made of materials easily deforming. The self-generating electricity step-counting shoe is characterized in that the front power generation device and the back power generation device respectively comprise an elasticity recovery body, a protruding device and a piezoelectric ceramic element, and in the walking process, the planta pedis extrudes corresponding elasticity recovery body to deform, and each protruding device extrudes corresponding piezoelectric ceramic element to produce voltage; when the planta pedis lifts up, corresponding elasticity recovery body recovers the state before extrusion. According to the self-generating electricity step-counting shoe, sufficient electric energy can be produced, batteries are not needed, walking steps of a person wearing the shoe can be effectively metered, the walking amount of the person wearing the shoe is monitored, and the effect of health promotion is achieved.

The invention provides an intelligent blood pressure wrist watch. The intelligent blood pressure wrist watch includes a watch strap, the face, acting on the human body wrist, of the watch strap is provided with one or more air bags, the other face of the watch strap is provided with a watch shell embedded with the watch strap, and the watch shell is provided with a display screen; a cavity formedby the watch strap and the watch shell is internally provided with an air pump for conducting air inflation on the air bags, an electromagnetic valve for accelerating air to be discharge from the airbags, and a main control circuit electrically connected with the air pump and the electromagnetic valve separately. The blood pressure wrist watch is fashionable and beautiful in appearance, simple inmain structure and small in volume, and therefore is convenient to wear for a long time daily, and blood pressure measurement conducted based on oscillography is good in accuracy and high in stability, and it is really achieved that physical health parameters such as blood pressures, heart rates, step counts and sleep are conveniently detected anytime and anywhere, which helps users in practicinga healthy lifestyle.

The invention discloses a software step counting method based on mobile phone acceleration and distance sensors and belongs to the field of electronic application. The step counting method is fused with the data of the mobile phone accelerator and the distance sensor; the accelerator sensor is used for performing human tread characteristic analysis; the distance sensor is used for judging the position of a mobile phone. The core idea is that the triaxial acceleration data is pretreated, and then the pseudo wave crest is filtered through a peak threshold value and a time threshold value and the step counting is realized through the residual effective wave crest. According to the method, the distance sensor data is introduced for improving the problem of low accuracy of step counting of people by holding the mobile phone, and the peak threshold value and the time threshold value are introduced for promoting the anti-interference capacity of people in non-step counting scenes, such as taking a bus, and reducing the mistaken step counting. The software step counting method is free from a complex filtering manner, the counted step number is outputted in real time under the condition of guaranteeing the step counting precision and the power consumption of the step counting is reduced.

The invention provides a motion state recognition method and system based on a three-axis accelerometer, which comprise a self learning stage and a practical application stage. The self learning stagecomprises the following steps: S10, acceleration data in the motion state of a person are acquired through the three-axis accelerometer; S20, the acquired acceleration data are subjected to motion type marking and signal processing; S30, an axis for data analysis is selected according to an x, y and z coordinate system of the three-axis accelerometer, and the axis for data analysis is subjected to feature extraction; and S40, the extracted features and the corresponding motion type mark are applied to a classifier to train a learning model. The practical application stage comprises the following step: S50, the three-axis accelerometer acquires the user data, steps S20 and S30 are repeated, the extracted features are inputted to the learning model, and a motion state recognition result anda step count result are obtained. The motion type of the user can be recognized, the step count can be calculated, and the accuracy is high.