573 results about "Step counting" patented technology

Disclosed is an exercise apparatus for use in accurately and automatically tracking number of steps taken by a user both on and off of an exercise machine. The apparatus comprises a step counter such as a pedometer for counting number of steps taken by a user, the step counter continually counting cumulative number of steps taken in a given time period both while the user is on and off of the exercise machine, the step counter having a first communication means for periodically communicating the current cumulative step count to a console of an exercise machine while the user uses the exercise machine; and, the console comprising, a second communication means for receiving the current cumulative number of steps from the step counter while the user uses the exercise machine. The apparatus may further comprise a data processor, a display and a memory means.

To realize miniaturization and detection of a walk state in which no arm is swung in an electronic pedometer in which at least a walk sensor is used in a state of being worn on a wrist. An acceleration sensor is disposed so that a sensitivity axis of the acceleration sensor is located in a range of 30Ω or smaller in a counterclockwise direction from the direction of 90Ω with respect to a longitudinal direction of a belt. A user of an electronic pedometer wears the electronic pedometer on his/her left wrist using the belt and starts processing for counting the number of steps by manipulating a manipulation portion, and also starts to walk, thereby starting counting the number of steps. The user checks the counted number of steps and the measured time period based on displayed contents on a step number display portion and a time display portion of a display portion.

The invention discloses a bracelet capable of collecting multi-parameter health indexes. The bracelet comprises a body and a wrist strap. The body comprises a shell body, a displaying screen, a power supply, a clock part and a main control system. The displaying screen, the power supply, the clock part and the main control system are arranged in the shell body. The main control system comprises a main printed board, a microprocessor, a storage, an analogue signal processing chip and a Bluetooth transmission device. The microprocessor, the storage, the analogue signal processing chip and the Bluetooth transmission device are arranged on the main printed board. An infrared temperature sensor, an alarming device, a gravitational acceleration sensor for step counting and a charging connector are arranged on the main printed board. A flexible connecting wire cable, a measuring printed board, a body surface temperature sensor, a photosensitive sensor and a light source are arranged on the wrist strap. The body surface temperature sensor, the photosensitive sensor and the light source are integrated on the measuring printed board. A tensioning device is arranged on the wrist strap. The bracelet is small and light, wearing and using are convenient, various health parameters can be monitored accurately, human body parameters are collected near the Neiguan point under a wrist of a palm side, the number of blood vessels under the wrist is large, pulsation is obvious, and accordingly the accuracy of data testing and obtaining through the bracelet is greatly improved.

The embodiment of the invention discloses a gait recognition method and a corresponding pedometer. The gait recognition method comprises the following steps: acquiring acceleration signals during wrist movement, wherein the acceleration signals comprise a first sensitive shaft signal and a second sensitive shaft signal; selecting one of the first sensitive shaft signal and the second sensitive shaft signal as the current gait recognition signal according to the moving state of the previous gait; determining whether the current gait is complete or not by judging the conversion between a wave peak section and a wave trough section of the current gait recognition signal based on the dynamic threshold value preset for the previous gait. The gait recognition method is capable of effectively recognizing running and other walking modes, thus improving the step-counting accuracy.

A method and apparatus for counting the steps taken by a walker, where the method includes detecting an acceleration value generated by a step taken by a walker at every first stated interval, calculating a standard deviation of detected acceleration values at every second stated interval, determining a walking mode corresponding to the calculated standard deviation among first through N^th walking modes as a walking pattern of the walker, in which N is a positive integer that is larger than 1, checking if there is at least one absolute value that is larger than a threshold acceleration value corresponding to the determined walking mode among the absolute values of the detected acceleration values, and incrementing a count value as a step taken by the walker if there is at least one absolute value that is larger than the threshold acceleration value among the absolute values of the detected acceleration values.

The invention relates to the technical field of articles for daily use, in particular to a multifunctional intelligent insole and a gait similarity detection method. The multifunctional intelligent insole is convenient to use, light, convenient to carry, flexible to use and multifunctional, and has a series of functions of weighing, step counting, distance measuring, calorie consumption measuring, lostness prevention, warning while people fall off and wireless data transmission. According to the method, step postures and coordination of a detected object are judged mainly by analyzing triaxial accelerated speed, triaxial angular speed and pressure information of three positions of feet when the detected object moves, accordingly incorrect or abnormal gaits can be effectively found and corrected, and the insole has important application value for dancing lovers, babies learning to walk and patients walking for rehabilitation. Meanwhile, the gait detection method can be matched with an intelligent system for use, and test results can be presented to users visually through an intelligent terminal device.

The invention provides a step counting method which comprises the steps: accelerations in all directions are obtained; a composite acceleration is calculated; a judgment of whether run or walk is made according to the amplitude of the composite acceleration. In the step counting method, an acceleration testing method adopted can distinguish the running of the human body from the walking of the human body, and a real walking from other disturbance. Besides, the invention also provides a step counting device and methods for rectifying stride and estimating moving distance.

A step detecting apparatus and method in a personal navigator where acceleration signals in at least two directions are acquired from an accelerometer sensor, as a pedestrian moves. Variances of the acceleration signals are calculated and summed. The variance sum is compared with a threshold. If the variance sum is greater than the threshold, it is determined that a detected step is a walking step. If the variance sum is less than the threshold, it is determined that the detected step is a mark-time step.

The invention includes a method of identifying at least one selected frequency, determining a number of steps and the direction of each step, calculating a plurality of stepping angles as a function of the at least one selected frequency, the number of steps, and the direction of each step, and producing. a multi-frequency voltage waveform as a function of the stepping angles, the waveform containing the at least one selected frequency. The apparatus of the invention includes a processor, a plurality of gate drivers coupled to the digital processor, a plurality of switching circuits coupled to the plurality of gate drivers, and a plurality of DC sources coupled to the plurality of switching circuits.

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 gait counting method and a gait counter. The gait counter can be worn on a wrist or other parts of a body and is used for precisely counting different kinds of gaits of a wearer. The gait counting method comprises the following steps: analyzing an output signal of an acceleration sensor so as to generate two groups of dynamic threshold parameters and a group of dynamic time parameters; when an acceleration output signal change value is greater than a first threshold parameter and spans downwards across a second threshold parameter, performing gait counting analog; comparing the time and corresponding dynamic time parameters in two times of gait counting analog so as to confirm whether next detection is performed or not; performing wrist belt type gait counting characteristic comparison and judging; subsequently judging whether the gait counting analog meets specific counting rule parameters; judging whether the gait counting analog meets corresponding gait rule parameters so as to confirm whether the corresponding gaits need to be counted. By adopting the gait counting method and the gait counter, the wearer can wear the gait counter on the wrist or the other parts of the body to precisely count the different kinds of gaits.

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.

The invention discloses a step counting and motion state evaluation device. According to the step counting and motion state evaluation device, motion posture characteristics are acquired by using a motion sensor, muscle activity levels are acquired by using a multi-channel surface myoelectricity sensor, and with the combination of the motion posture and the muscle activity degree, the steps in different motion modes can be counted, and the calorie consumption can be calculated. With the combination of a surface myoelectricity pedometer and an analysis device, the step counting and motion state evaluation device is relatively professional when being compared with a conventional pedometer, relatively rich muscle physiological information can be provided, and the step counting and motion state evaluation device is particularly applicable to motion and rehabilitation evaluation.

The invention discloses an intelligent shoe which comprises a sole and a vamp. A pressure sensor and a control unit are arranged in the sole, wherein the pressure sensor can convert pressure into electric signals to output, the control unit comprises a wireless communication module and a control module, and the wireless communication module and the control module are in data connection; the control module is in data connection with the pressure sensor. A power generator of the intelligent shoe improves step counting and weight measuring accuracy and electricity conversion efficiency, and the requirements of components for electricity are met; meanwhile, the intelligent shoe plays a practical role in measuring of temperate and humidity in the shoe; by means of miniaturization and intelligent design, improvement of multifunctionality and practicality of common shoes is achieved, and more wear enjoyment and experience are provided for users.

The invention disclose a step-counting processing system and method, and the step-counting processing system comprises an acceleration sensing unit, a discrimination unit, a computing unit, an analyzing unit, and a step-counting unit; and the step-counting processing system is used for sensing the acceleration signal generated by the upper and down body vibration during the human walking course, and the projection operation of the sensed acceleration signal at the gravity direction is conducted, in order to obtain the waveform of the component of the acceleration signal generated at the vertical direction during human body walking, meanwhile, whether the waveform characteristic of the component of the acceleration signal generated at the vertical direction is continuous wave peaks and wave troughs is analyzed, and the analyzed result serves as the basis that whether cumulative steps are conducted, thereby achieving the purpose of refined calculation of walking steps for human body.

The invention relates to a cultivation system in animal husbandry and particularly relates to a digital precision cultivation system of dairy cows. The system comprises a server with a running expert system, a milk metering device connected with the input end of the server, a body weight weighing device, a food intake metering device, a body condition automatic evaluation device and an environmental measuring and controlling device, an automatic grouping device and an intelligent feed supplementing device, which are connected with the output end of the server, and a PC (personal computer) client and a handheld terminal, which are in two-way communication connection with the server, wherein the milk metering device is connected with a milk component detection device, each input and output end of the milk metering device, the food intake metering device, the body weight weighing device and the body condition automatic evaluation device is connected with an RFID (radio frequency identification) step counting identification device, and the output end of the environmental measuring and controlling device is connected with a fan control switch and a spraying control magnetic valve. According to the digital precision cultivation system of the dairy cows, provided by the invention, automatic real-time monitoring of various basic information of the dairy cows can be realized and the precision cultivation purpose can be achieved by real-time acquisition and precision calculation of various data.

A hybrid-computing navigation system worn by a user includes a modified motion sensor group which includes 9-axis or 10-axis motion sensors that are built-in, and a host device configured for providing navigation information, in which the modified motion sensor group is worn on the user so that a moving direction of the user is the same as a heading direction calculated from the modified motion sensor group. The modified motion sensor group provides step counting and absolute orientation in yaw, roll and pitch using a sensor fusion technique. The navigation system further includes at least one wireless sensor at wifi hot spot to perform sensor fusion for obtaining an absolute position of an estimated position of the user. Sensor fusion combining with location map are used to perform location map matching and fingerprinting. A method of position estimation of a user using the navigation system is also disclosed.

The invention discloses a step counting method based on a mobile phone three-axis acceleration sensor. The step counting method comprises the following steps that data is acquired, wherein three-axis data of the three-axis acceleration sensor is acquired through a calculating window; the data is preprocessed, the average value of the data is smoothed, and resultant acceleration is calculated; features are extracted, the average value and variance of the data and the wave crest number of the resultant acceleration are extracted, the resultant acceleration is clustered by utilizing a clustering algorithm, and clustering centers are extracted as clustering algorithm features; position judgement is performed, wherein the features are classified by utilizing the clustering algorithm to obtain category labels; waveform reconstruction is performed, the data is segmented to form a tetrad, and the data is partitioned into complete waves; steps are calculated, threshold values are correspondingly distinguished according to categories and are utilized to distinguish the reconstructed data, and the number of steps corresponding to the categories is added with 1 when the conditions are met. By adopting the step counting method, different positions where mobile phones are located can be identified, step counting is more accurate, and the method has stronger interference resistance.