Abstract: A method and system for estimating a step length in a pedestrian navigation system is provided. The method of estimating a step length in a pedestrian navigation system includes calculating a walking frequency and an acceleration variance of a pedestrian by using acceleration data acquired from an acceleration sensor, calculating a walking distance of the pedestrian by using GPS data acquired from a GPS receiver, and estimating a step length of the pedestrian by using the calculated walking frequency, acceleration variance, and walking distance.

Abstract: A device and method for estimating an adaptive pace depending on a user with a different pace. An adaptive pace estimation device includes a GPS receiver for receiving position information from a GPS satellite; an acceleration sensor for measuring vibrations due to walking to output an acceleration value; a memory for storing an instruction data set with a walking pattern representative value updated in accordance with an instruction corresponding to at least one walking pattern group; and an instruction data generator for calculating a mean value of input walking pattern data and updating a value approximate to the mean value of the input walking pattern data and the walking pattern representative value as a walking pattern representative value.

Abstract: An apparatus and method for estimating a step length of a user are provided. The apparatus and method use a step length estimation algorithm, e.g. a step length estimation parameter coefficient, according to a movement state of a user, i.e. whether the movement state is a walking state or a running state. The movement state of the user is determined on the basis of an acceleration variance value of an acceleration signal output from an accelerometer. Accordingly, the apparatus and method prevent errors in step length determinations.

Abstract: An apparatus and method for determining a location of a movement distance measuring apparatus are provided. The apparatus and method determine whether the movement distance measuring apparatus is mounted at the waist of a pedestrian or is located in a pocket and uses a different step length estimation algorithm, e.g. a different step length estimation parameter coefficient, corresponding to the determined mounting position. The determination of whether the movement distance measuring apparatus is mounted to the waist of a pedestrian or is located in a pocket is performed on the basis of a gyro sensor.

Abstract: A device and method for estimating an adaptive pace depending on a user with a different pace. An adaptive pace estimation device includes a GPS receiver for receiving position information from a GPS satellite; an acceleration sensor for measuring vibrations due to walking to output an acceleration value; a memory for storing an instruction data set with a walking pattern representative value updated in accordance with an instruction corresponding to at least one walking pattern group; and an instruction data generator for calculating a mean value of input walking pattern data and updating a value approximate to the mean value of the input walking pattern data and the walking pattern representative value as a walking pattern representative value.

Abstract: An apparatus and a method for step detection in a personal navigation system is disclosed. In the apparatus acceleration signals are obtained from an acceleration sensor in a movement direction and a gravity direction relative to a user. Sliding window summing data for the acceleration signals output from the acceleration sensor in the movement direction and the gravity direction are calculated so as to obtain a sum of the sliding window summing data. Then, a zero crossing point is detected based on differential sliding window summing data. A difference of a detection time between a present zero crossing point and a previous zero crossing point is compared with a threshold value, thereby detecting steps of the user based on the distinct signal pattern for walk. The step detection apparatus distinguishes zero crossing detection caused by chattering (e.g.

Abstract: 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.

Abstract: A geomagnetic sensor includes a geomagnetic detection module configured to output an electrical signal having a magnitude corresponding to a magnetic field; a memory configured to store an azimuth measured in a horizontal plane; an accelerometer module configured to measure a tilt at present, and to compute a tilt angle therefrom; and a controller configured to calculate a dip angle by using the electrical signal outputted from the geomagnetic detection module, the tilt angle, and the horizontal azimuth. A method for detecting a dip angle by a geomagnetic sensor includes outputting an electrical signal having a magnitude corresponding to an external geomagnetic field; detecting an azimuth in a horizontal plane and storing the detected azimuth; measuring a tilt at present and computing a tilt angle thereof; and calculating a dip angle by using the electrical signal, the tilt angle, and the azimuth measured in the horizontal plane.

Abstract: A geomagnetic sensor for detecting a dip angle includes a geomagnetic detection module for outputting an electric signal having a magnitude corresponding to a magnetic field; a memory for storing an azimuth measured in a horizontal plane; an accelerometer module for measuring a tilt at present, and computing a tilt angle therefrom; and a controller for calculating a dip angle by using the electric signal outputted from the geomagnetic detection module, the tilt angle, and the horizontal azimuth. Therefore, a user can more easily and conveniently calculate the dip angle at the present position.

Abstract: An apparatus for calculating an azimuth angle includes a two-axis earth magnetic sensor, which is mounted on a device that requires azimuth information, for measuring a strength of an earth magnetic field according to the azimuth information if the device moves, an inclinometer for calculating an attitude such as a roll angle and a pitch angle, a signal conditioning unit including an analog-to-digital (A/D) converter for converting sensor data into a digital value, a microprocessor for calculating the azimuth information by compensating for an attitude error using outputs of the two-axis earth magnetic sensor and the inclinometer, a serial communication interface for transmitting the data processed by the microprocessor, and an LCD module for displaying the azimuth information calculated by the microprocessor.

Abstract: An apparatus for calculating an azimuth angle includes a two-axis earth magnetic sensor, which is mounted on a device that requires azimuth information, for measuring a strength of an earth magnetic field according to the azimuth information if the device moves, an inclinometer for calculating an attitude such as a roll angle and a pitch angle, a signal conditioning unit including an analog-to-digital (A/D) converter for converting sensor data into a digital value, a microprocessor for calculating the azimuth information by compensating for an attitude error using outputs of the two-axis earth magnetic sensor and the inclinometer, a serial communication interface for transmitting the data processed by the microprocessor, and an LCD module for displaying the azimuth information calculated by the microprocessor.