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:
Disclosed herein are a method and apparatus for preventing separation of accompanying persons by using a first apparatus and a second apparatus connected through a short-range wireless communication network. The method includes: calculating self-locations of the first and second apparatuses; exchanging the self-locations with each other; calculating a distance between the first and second apparatuses using the self-locations; outputting, if the distance between the first and second apparatuses exceeds a pre-set distance, an alarm for warning a separation state and designating current locations of the first and second apparatuses as absolute locations; detecting self-travel routes from the absolute locations of the first and second apparatuses; exchanging the detected self-travel routes with each other; and displaying the travel routes of counterparts.
Abstract:
Provided is an apparatus and method for switching a navigation mode between a vehicle navigation mode and a personal navigation mode in a navigation device supporting vehicle navigation and personal navigation. Switching between the vehicle navigation mode and the personal navigation mode is performed according to whether the navigation device is mounted in a navigation device holder, whether a GPS speed provided by a GPS receiver is higher than a predetermined speed, and whether a step is detected using an output of an accelerometer. Since mode switching between the vehicle navigation mode and the personal navigation mode is automatically performed, a user does not need to manually perform mode switching.
Abstract:
An apparatus and method for estimating displacement of a user terminal are provided. The method includes estimating, by the user terminal, a moving state of the user terminal; determining a first moving direction probability index of a user, based on the estimated moving state of the user terminal; and determining a moving state of the user terminal and estimating a moving direction of the user terminal, based on the first moving direction probability index.
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 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:
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., vibration) of the human body from zero crossing detection caused by the step of the user, so the step detection apparatus more precisely detects the step of the user. Accordingly, it is possible to precisely detect the step of the user in a hand-held type personal navigation system, such as a portable phone or a PDA, including a micro sensor module.