A moving speed estimation device which includes a vibration component information estimation unit 4 which estimates the vibration cycle or vibration frequency of the periodic vibration component included in instantaneous moving speed of a mobile body A along with a periodic moving action of the mobile body A. The moving speed estimation device also includes a speed estimated value adjustment processing unit 5 which sequentially generates speed values as estimated values of the moving speed of the mobile body A, where the speed value is obtained by performing at least processing of removing a vibration component corresponding to the estimated value of the vibration cycle or vibration frequency for the time series of the instantaneous moving speed estimated from the time series of the measured value of the position of the mobile body A.

A moving speed estimation device which includes a vibration component information estimation unit 4 which estimates the vibration cycle or vibration frequency of the periodic vibration component included in instantaneous moving speed of a mobile body A along with a periodic moving action of the mobile body A. The moving speed estimation device also includes a speed estimated value adjustment processing unit 5 which sequentially generates speed values as estimated values of the moving speed of the mobile body A, where the speed value is obtained by performing at least processing of removing a vibration component corresponding to the estimated value of the vibration cycle or vibration frequency for the time series of the instantaneous moving speed estimated from the time series of the measured value of the position of the mobile body A.

A highway detection system may include a telematics device associated with a vehicle having one or more sensors arranged therein, a mobile device associated with a user traveling in the vehicle, and a server computer. The server computer may receive traveling data for a trip of the user from the one or more sensors and via the telematics device. The server computer may then determine whether the user is traveling within a city or on a highway based on analysis of the traveling data for the trip of the user, which may include a statistical analysis to calculate standard deviations of metrics in the traveling data. In response to the determination, the server computer may generate a notification to transmit to the user based on whether the user is traveling within a city or on a highway and transmit the notification to the mobile device associated with the user.

A highway detection system may include a telematics device associated with a vehicle having one or more sensors arranged therein, a mobile device associated with a user traveling in the vehicle, and a server computer. The server computer may receive traveling data for a trip of the user from the one or more sensors and via the telematics device. The server computer may then determine whether the user is traveling within a city or on a highway based on analysis of the traveling data for the trip of the user, which may include a statistical analysis to calculate standard deviations of metrics in the traveling data. In response to the determination, the server computer may generate a notification to transmit to the user based on whether the user is traveling within a city or on a highway and transmit the notification to the mobile device associated with the user.

Apparatus and associated methods relate to generating a frequency spectrum weighting function for use in estimating a rotational frequency of the rotating member. The estimation of the rotational frequency is based on vibrations sensed by an accelerometer remotely located from a rotating member. The frequency spectrum weighting function is generated by a supervised learning method. The method includes receiving a set of test vectors. The test vectors include a rotational frequency value of the rotating member and a vibrational frequency spectrum corresponding to vibrations propagated to the accelerometer. The vibrations include vibrations caused by the rotating member rotating at the rotational frequency. The method includes calculating a test weighting function, and then weighting the vibrational frequency spectra by the test weighting function. The method includes calculating a vector score indicative of whether the weighted vibrational frequency spectra promote the identification of the rotational frequency of the rotating member.

Apparatus and associated methods relate to generating a frequency spectrum weighting function for use in estimating a rotational frequency of the rotating member. The estimation of the rotational frequency is based on vibrations sensed by an accelerometer remotely located from a rotating member. The frequency spectrum weighting function is generated by a supervised learning method. The method includes receiving a set of test vectors. The test vectors include a rotational frequency value of the rotating member and a vibrational frequency spectrum corresponding to vibrations propagated to the accelerometer. The vibrations include vibrations caused by the rotating member rotating at the rotational frequency. The method includes calculating a test weighting function, and then weighting the vibrational frequency spectra by the test weighting function. The method includes calculating a vector score indicative of whether the weighted vibrational frequency spectra promote the identification of the rotational frequency of the rotating member.

An article and method are described that measure the average speed of an object. A timer measures the time an object takes to travel from a start to a finish. A goniometer measures the angle between the start, the article, and the finish. A wave generator determines the distances from the article to the start and finish. Using a geometric identity, the distance traveled by the object from the start to the finish can be determined and, using the time, the average speed can be calculated. The article and method are especially suitable for quickly measuring the average speed of objects moving below about 10 m/s and without defining a predetermined path. An electronic processor can be used to automate the method.

An article and method are described that measure the average speed of an object. A timer measures the time an object takes to travel from a start to a finish. A goniometer measures the angle between the start, the article, and the finish. A wave generator determines the distances from the article to the start and finish. Using a geometric identity, the distance traveled by the object from the start to the finish can be determined and, using the time, the average speed can be calculated. The article and method are especially suitable for quickly measuring the average speed of objects moving below about 10 m/s and without defining a predetermined path. An electronic processor can be used to automate the method.

A system includes a shoe, a timer, a positioning component, a controlling component, a memory and a processing component. The timer establishes a time frame. The positioning component determines a first geodetic location of the shoe at a first time within the time frame and determines a second geodetic location of the shoe at a second time within the time frame. The controlling component is disposed at the shoe and generates activity data based on the first geodetic location, the second geodetic location and the time frame. The memory is disposed at the shoe and stores the activity data. The processing component retrieves the activity data from the memory and wirelessly transmits processed activity data based on the activity data. The positioning component further determines a first geodetic location total time corresponding to a total time the shoe is located at the first geodetic location within the time frame.

By measuring speeds and deflection angles of two front wheels in real time, and according to values of gravity sensors at four wheel axles, and an axle base and a wheel base of an automobile, a center of gravity of the automobile is determined; moving speeds of the left and right front wheels of the automobile around an instantaneous center during cornering are converted into moving speeds at the center of gravity of the automobile respectively, and an average value of the two automobile speeds at the center of gravity of the automobile is taken as an actual driving speed of the vehicle during cornering; meanwhile, an automobile speed may be controlled according to force conditions of four wheels.