36 results about "Step count" patented technology

The invention discloses a method and a system for accelerometer and gyroscope- based step counter for virtual reality navigation The method (300) includes capturing (302) a movement data of a user (106) wearing a head mounted display (HMD) device (102), filtering (304) the movement data captured using a sensor (206) to attenuate a noise generated along with the movement data to get a filtered data and analysing (306) the filtered data to determine if the filtered data is within a predefined threshold. The method further includes calculating (308) a step count if the filtered data is within the predefined threshold and increasing (310) a virtual step based on the step count calculated to mirror a real-world movement of the user (106) in a virtual environment.

Activity level and fall detection using accelerometer data is described. In one or more implementations, measurements of a user generated by a wearable monitoring device during an observation period are obtained, the measurements including accelerometer data. Physical steps taken by the user are detected based on peaks in the accelerometer data above a threshold, and a step count is generated based on the detected physical steps within predetermined time epochs. Activity level classifications of the user for the predetermined time epochs are generated based on the step count. The step count and the activity level classification for the predetermined time epochs may then be output, such as a notification or in a user interface. Fall predictions may be generated and output by processing the accelerometer data using machine learning models trained to correlate patterns in accelerometer data to fall events.

A controlling method of an electronic apparatus, the method comprising obtaining main motion data and sub motion data, obtaining synthetic data by combining the main motion data and the sub motion data, obtaining a threshold value based on a magnitude of a signal waveform of the synthetic data and a running mean of the synthetic data, identifying a plurality of critical points in the synthetic data based on the threshold value, identifying signal patterns, based on the plurality of critical points, in each axis of a plurality of axes in the main motion data of a 3-Dimension (3D) coordinate system, obtaining at least one similarity in the signal patterns based on a plurality of inter-axis features extracted from the synthetic data, obtaining a degree of symmetry between each axis of the plurality of axes based on the at least one similarity, and obtaining a user's movement information based on the degree of symmetry and the synthetic data.

Improve the accuracy of step counting. [Solution] The data acquisition unit 101 acquires 3-axis acceleration data for 3 axes output by a 3-axis acceleration sensor attached to the user. The step count estimation unit 103 estimates the user's step count based on the composite acceleration data obtained from the 3-axis acceleration data. The arm swing count estimation unit 104 estimates the user's arm swing count based on specific axis acceleration data from the 3-axis acceleration data that corresponds to the direction in which the user's arm is swung. The step count measurement unit 107 measures the user's step count by switching between the user's step count estimated by the step count estimation unit 103 and the user's arm swing count estimated by the arm swing count estimation unit 104, according to a predetermined standard.

An object of a system according to an embodiment is to improve a user's walking experience by automatically generating music according to a walking speed.SOLUTION: A system includes a step counting part, a BPM determination part, a musical piece generation part, and a tempo adjustment part. The step counting unit measures a walking speed using a step counting function of the smartphone. The BPM determining unit determines the BPM based on the data measured by the step counting unit. The music generation unit generates music on the basis of the BPM determined by the BPM determination unit. The tempo adjusting unit increases or decreases the BPM according to the user's desire.SELECTED DRAWING: Figure 1

This invention discloses an indoor positioning method based on LTE signal fingerprint matching and nearest neighbor observations constrained by PDR (Progressive Directional Recognition), belonging to the field of indoor navigation and positioning technology. The method first performs step count detection, step length estimation, and heading estimation based on MEMS sensor output to obtain PDR positioning results. Then, it uses the PDR positioning results and an indoor map to estimate LTE signal propagation model parameters online, quickly constructing a fingerprint database, and obtaining location observations through fingerprint matching. Simultaneously, it utilizes the peak variation pattern of the LTE signal RSRP (Regressive Range Recognition Point) to identify antenna positions using peak detection and threshold constraints, extracting nearest neighbor position, step length, and heading observations. Finally, it employs unscented Kalman filtering to fuse the PDR results and the aforementioned observations in different scenarios. This invention requires no prior data, can adapt to changes in environment and equipment, and combines low cost with high accuracy, making it suitable for indoor pedestrian positioning.

A system is provided.SOLUTION: A system including means for recording an image of a meal with a camera, means for analyzing meal contents by image recognition, means for calculating ingested nutrients on the basis of an analysis result, means for storing the analysis result in a cloud server, means for measuring the number of steps, means for transmitting step count data to the cloud server, means for calculating consumed calories on the cloud server, means for comparing ingested calories and consumed calories and generating advice, and means for notifying a user of the generated advice.SELECTED DRAWING: Figure 1

The application discloses a kind of based on step prediction's stepper motor acceleration-deceleration curve parameter table generation method and multi-motor motion control method, wherein the above-mentioned method includes: obtaining the basic parameters of motor acceleration-deceleration process;Typical S-type acceleration-deceleration curve of motor is compensated to obtain the S-type speed curve of motor running speed;Integral calculation is carried out to S-type speed curve and obtains S-T function;S-T function is obtained by solving the inverse;According to the running step and motor differential mode, calculate microstep step;Then, combined with total distance, the microstep running distance table of motor after equal-distance division is calculated and obtained;Microstep running distance table and T-S function are combined, and the microstep running time node table of motor is calculated;Substitute S-type speed curve of motor running speed and calculate to obtain the speed table of each microstep moment;Corresponding acceleration-deceleration curve parameters are generated using each speed value in microstep speed table.The technical problem that classical table lookup method does not consider the change of timer period is solved.

The application discloses a wearable motion monitoring device for Parkinson's disease, which comprises an assembly body, a detection bracelet and a step counting foot ring, an external wearable clothing body of the assembly body, a sensor body arranged on the clothing body, the detection bracelet and the step counting foot ring are sleeved to the external assembly body, a connecting assembly is arranged between the sensor body and the clothing body, the connecting assembly is used for fixing the sensor body, a plurality of monitoring assemblies are arranged at joints of the clothing body respectively, the monitoring assembly comprises a bearing box, an air bag sleeve is arranged in the bearing box, an air pressure detector is fixedly installed in the bearing box, a transmission assembly is arranged on the bearing box, and a mounting assembly is arranged between the bearing box and the clothing body. According to the setting mode of the clothing body and the monitoring assembly, when a patient's limb moves, the transmission assembly can cooperate with the bearing sleeve to extrude the air bag sleeve, so that the air pressure detector detects the air pressure change in the air bag sleeve, and the state of the patient's limb movement is recorded.

This system provides walking routes generated based on individual user profiles, promoting enjoyable and efficient exercise. [Solution] A system comprising: a means for registering the user's basic information and hobbies and preferences using a personal information input means; a means for measuring the number of steps based on the user's daily activities using a step counting means; a means for generating individual walking routes using the user's registered information and location information using a generation means; a means for suggesting exercise time based on the user's free time using a scheduling means; a means for awarding points and offering rewards for the user achieving their goals using a reward provision means; a means for displaying advertisements for specific stores to the user on the walking route using an advertisement display means; and a means for aggregating and analyzing the user's behavior information using a data aggregation means.

The application provides a data processing method and device, wherein the data processing method comprises: obtaining to-be-processed data used for counting steps and initial step counting data corresponding to the to-be-processed data, wherein the to-be-processed data comprises at least one to-be-processed sub-data; determining a first step counting parameter and a second step counting parameter corresponding to each to-be-processed sub-data; determining a target state corresponding to each to-be-processed sub-data according to the first step counting parameter and the second step counting parameter corresponding to each to-be-processed sub-data; and determining target step counting data corresponding to the to-be-processed data based on the initial step counting data and the target state corresponding to each to-be-processed sub-data. The target state corresponding to each to-be-determined data in the to-be-processed sub-data is determined, so as to eliminate the false step counting in the to-be-processed sub-data, thereby improving the accuracy of step counting on the to-be-processed data. Compared with a traditional step counting algorithm, the calculation amount is greatly reduced, and the calculation cost is reduced.

This disclosure relates to methods for measuring one or more physiological signals while the user is engaged in a predetermined activity. Exemplary predetermined activities can include activities such as walking, climbing stairs, biking, and the like. The physiological measurements can include, but are not limited to, heart rate signals. The physiological measurements may be affected by the predetermined activity, so the system may be configured to employ one or more criteria prior to measuring physiological information to minimize the effects. The one or more criteria can include, but are not limited to, an inter-sampling waiting time, continuous motion criteria, predetermined activity criteria, a post-physiological measurement amount of time, and a confidence value. The continuous motion criteria can be based on the type of predetermined activity. For example, walking may have walking state criteria and a step count criteria.

A system is provided.SOLUTION: A system comprising: means for inputting health check data; means for taking a picture of each meal and inputting contents of the meal; means for transmitting the health check data, meal data, and step count data to a server; means for analyzing the data in the server, evaluating a health condition, and generating an improvement proposal; means for transmitting the generated improvement proposal and recommended store information to a terminal; and means for notifying a user of the improvement proposal displayed on the terminal.SELECTED DRAWING: Figure 1

An object of the present invention is to provide a novel technique capable of predicting an activity amount in consideration of various physical activities in a day.SOLUTION: In order to solve the above problem, the present invention provides a prediction system for predicting an activity amount for one day, the prediction system including a step count management unit and an activity amount prediction unit, wherein the step count management unit acquires a step count of a user, and the activity amount prediction unit calculates a predicted activity amount for one day based on the step count and a prediction means.SELECTED DRAWING: Figure 1

The invention discloses a PDR step counting method assisted by sound, and belongs to the technical field of indoor navigation and localization. Triaxial acceleration and triaxial angular velocity data are collected through an inertial sensor of a smart phone, environmental audio data are collected through a microphone, and synchronization is carried out based on a unified time sequence; identifying the current carrying state of the mobile phone; starting a corresponding audio analysis model according to the carrying state, and extracting a specific acoustic event related to the gait cycle from the environment audio; performing preliminary gait detection on the inertial data, and extracting candidate gait cycles and step numbers; the sound event sequence and the inertial gait sequence are subjected to space-time matching and fusion, step counting correction is achieved through matching verification, missed step compensation and wrong step elimination, and the high-confidence-coefficient step number is output; interference of a single sensor in complex carrying modes and various motion states can be effectively suppressed, step counting accuracy, environmental adaptability and system robustness are remarkably improved, and the method is suitable for PDR positioning of large indoor scenes such as airports and terminals.

The invention discloses an indoor high-precision step counting method and system based on multi-modal inertial navigation data, and the method comprises the following steps: carrying out the multi-modal data preprocessing and adaptive fusion filtering of collected acceleration data and angular velocity data, and obtaining a smooth acceleration signal and a smooth angular velocity signal; based on the two signals, multi-mode cooperative gait recognition is carried out, an effective gait peak value is recognized, and a gait cycle and a real-time stride frequency are calculated; carrying out multi-modal fusion verification on a gait recognition result, and judging an effective movement gait; based on a historical step length library classified according to motion types, step length self-adaptive calibration is carried out according to the real-time step frequency, and a current adaptive step length is obtained; and calculating and outputting indoor motion parameters according to the step number of the effective motion gait and the current adaptive step length. According to the invention, accurate step counting and motion parameter calculation in a human body motion state can be realized in an indoor scene without GPS signals.

This application discloses a step counting method, apparatus, device, and storage medium. The method includes: acquiring sampling data from i sets of sensors on a target object, where i ≥ 3; constructing a sampling matrix and a unit basis vector based on the sampling data from the i sets of sensors; detecting leg raising and lowering movements of the target object based on the sampling matrix and the unit basis vector; and counting steps on the target object based on the leg raising and lowering movements. This technical solution is not limited to software detection methods and can accurately determine leg raising and lowering movements based on sensor-detected sampling data. It can achieve accurate step counting even when the system is powered off, making step counting highly flexible and reducing system power consumption.

An object of the system according to the embodiment is to accurately grasp the health condition and emotion of the pet and provide appropriate advice to the owner.SOLUTION: A system according to an embodiment includes a data collection unit, a data transmission unit, a data analysis unit, an emotion estimation unit, and an advice providing unit. The data collection part collects data of pulse, body temperature and the number of steps by using a sensor attached to a collar of the pet. The data transmission unit transmits the data collected by the data collection unit to the server. The data analysis part analyzes the data transmitted by the data transmission part and determines the weight and excretion action of the pet. The emotion estimator reads the emotion of the pet based on the data analyzed by the data analyzer. The advice providing unit provides advice to the owner based on the feeling read by the feeling estimation unit.SELECTED DRAWING: Figure 1

The application relates to the technical field of steel structure detection and nondestructive testing, in particular to a scanning device for rapidly detecting a steel bridge deck and U ribs. The scanning device comprises a walking mechanism, a scanner and a step counting and marking mechanism. The scanner comprises a crossbar and a plurality of detection probes, the detection probes are distributed at intervals along the length direction of the crossbar, and the crossbar is arranged on the walking mechanism; the step counting and marking mechanism is arranged on the walking mechanism, the step counting and marking mechanism is connected with the scanner, and is used for marking on the steel bridge deck when the detection probes detect defects existing in the steel bridge deck or the U ribs. The scanning device for rapidly detecting the steel bridge deck and the U ribs is provided, so that the problems of complex operation and low efficiency in the detection process of the steel bridge deck and the U ribs in the related art are solved.

The utility model belongs to the field of warning lamps, and particularly relates to a warning lamp with a step counting function, the warning lamp comprises a carrier, and a main control board, a light-emitting part and a step counting sensor which are arranged in the carrier, the main control board controls the light-emitting part to emit light so as to play a role in light warning, and the safety of a user is improved; the step counting sensor is arranged on the main control board, the step counting sensor is used for detecting the regular change of vibration or acceleration of a user in the exercise (running or walking) process, then the functions of recording and counting the number of steps and lamplight warning and pace same frequency are achieved, the functions are rich, and the practicability is high. A user does not need to independently wear a pedometer to count the number of steps in the exercise process.

Provided is a method of controlling an electronic apparatus, the method including obtaining main motion data and sub motion data, obtaining synthetic data by combining the main motion data and the sub motion data, obtaining a threshold value based on a magnitude of a signal waveform of the synthetic data and a running mean of the synthetic data, identifying a plurality of critical points in the synthetic data based on the threshold value, identifying signal patterns, based on the plurality of critical points, in each axis of a plurality of axes in the main motion data of a 3-Dimension (3D) coordinate system, obtaining at least one similarity in the signal patterns based on a plurality of inter-axis features extracted from the synthetic data, obtaining a degree of symmetry between each axis of the plurality of axes based on the at least one similarity, and obtaining movement information of a user based on the degree of symmetry and the synthetic data.

A system for pedestrian use includes an accelerometer having multiple electronic sensors; an electronic circuit operable to generate a signal stream representing magnitude of overall acceleration sensed by the accelerometer, and to electronically correlate a sliding window of the signal stream with itself to produce peaks at least some of which represent walking steps, and further operable to electronically execute a periodicity check to compare different step periods for similarity, and if sufficiently similar then to update a portion of the circuit substantially representing a walking-step count; and an electronic display responsive to the electronic circuit to display information at least in part based on the step count. Other systems, electronic circuits and processes are disclosed.

A measurement device includes: an accelerometer; a storage; and at least one processor. In accordance with instructions stored in the storage, the processor acquires data of an acceleration waveform during walking or running of a user from the accelerometer, identifies a time width between a first timing and a second timing based on the acceleration waveform, and counts steps based on the acceleration waveform. The acceleration waveform changes from a negative value to a positive value at the first timing. The acceleration waveform changes from a positive value to a negative value at the second timing. When a predetermined condition is satisfied in counting the steps, the processor counts the acceleration waveform whose time width is greater than a predetermined threshold as two steps and count the acceleration waveform whose time width is smaller than the predetermined threshold as one step.

The invention discloses an LED lamp state control method and device, wearable equipment and a storage medium, and the method comprises the steps: carrying out the peak-valley value detection of the motion acceleration data of a wearing user, and determining the peak-valley value data; step counting is carried out according to the peak-valley value data, and step counting data of the wearing user is determined; performing speed detection based on the step counting data, and determining a speed mode of the wearing user; and performing state control on the LED lamp based on the speed mode.

Activity level and fall detection using accelerometer data is described. In one or more implementations, measurements of a user generated by a wearable monitoring device during an observation period are obtained, the measurements including accelerometer data. Physical steps taken by the user are detected based on peaks in the accelerometer data above a threshold, and a step count is generated based on the detected physical steps within predetermined time epochs. Activity level classifications of the user for the predetermined time epochs are generated based on the step count. The step count and the activity level classification for the predetermined time epochs may then be output, such as a notification or in a user interface. Fall predictions may be generated and output by processing the accelerometer data using machine learning models trained to correlate patterns in accelerometer data to fall events.

1. The name of the design product: watch with mechanical movement display graphical user interface. 2. The use of the design product: for running programs and communication. 3. The design points of the design product: the graphical user interface content displayed by the watch. 4. The picture or photo that best indicates the design points: perspective view. 5. The use of the graphical user interface: the interface is used to display weather, time, step count, power, calories, etc. Data, and the sliding screen can enter different operation interfaces.

The utility model relates to the technical field of casual shoes, and discloses a casual shoe capable of recording step number, which comprises a sole, a mounting groove is arranged on the front side of the sole, a cover plate is hinged to the front side of the sole, a support plate is fixedly connected to the left side of the inner wall of the mounting groove, and a pedometer is arranged at the top of the support plate. A limiting mechanism is arranged in the mounting groove and comprises a first round rod, a connecting piece, a first spring and a pressing plate, the first round rod is fixedly connected to the top of the supporting plate, the connecting piece is fixedly connected to the left side of the pressing plate, the first round rod penetrates through the connecting piece and is in sliding connection with the connecting piece, and the first spring is arranged on the outer wall of the first round rod in a sleeving mode; according to the pedometer shoe, the mounting groove is formed in the front face of the shoe sole, the pedometer is mounted in the mounting groove, the pedometer can be prevented from being collided and damaged, the pedometer is mounted at the top of the supporting plate, the pedometer has a certain height, damage caused by water inflow can be avoided, and the service life of the pedometer is prolonged.

The utility model discloses a speed-reducing, positioning and step-counting combined structure for a glue dipping travelling crane, which belongs to the technical field of travelling crane step-counting devices and comprises a mounting plate, a speed-reducing, positioning and step-counting combined structure for the glue dipping travelling crane, a speed-reducing, positioning and step-counting combined structure for the glue dipping travelling crane and a speed-reducing, positioning and step-counting combined structure for the glue dipping travelling crane, the positioning step counting assembly comprises a step counting component and a speed reduction component, the step counting component comprises four counters, a mounting seat, four connecting rods and four sensing pieces, the four counters are mounted in the corresponding mounting ports respectively, the mounting seat is arranged at the bottom of the mounting plate, and the four connecting rods are detachably connected between the inner walls of the mounting seat. According to the speed-reducing, positioning and step-counting combined structure for the impregnation travelling crane, through induction of the induction pieces and the proximity switch, after the trolley slows down, the four induction pieces and the counter conduct induction counting, then the trolley starts to accelerate, and the speed-reducing, positioning and step-counting combined structure is simple in overall structure, low in cost, beneficial to repair and maintenance, reliable in practical use and capable of being used in the severe environment at the same time.

To provide a monitoring device for a passenger conveyor step, enabling more assured determination of the presence or absence of damage of each moving step of a passenger conveyor.SOLUTION: A monitoring device for passenger conveyor step 100 according to the present disclosure is installed in a machine room 20 of an escalator, and comprises an imaging apparatus 110, an illuminating device 111 that illuminates an imaging range, and a processing device 120, the processing device 120 has a processing unit capable of determining the presence or absence of damage of each step 4 on the basis of image data of each step 4 obtained from imaging data captured by the imaging apparatus 110, and the processing unit performs binarization processing on the image data to generate inspection data, and determines the presence or absence of damage of each step on the basis of the inspection data.SELECTED DRAWING: Figure 4

This application provides a display method and an electronic device. The method includes: each time the electronic device displays a first interface, it can display a video clip corresponding to the user's current real-time step count on the first interface. This provides feedback on the user's current real-time step count through the currently playing video, thereby motivating the user. Furthermore, by associating the user's step count with the video clip, the functional attributes of the wallpaper or transition animation displayed on the terminal are enriched, enhancing the user experience.