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Device and method for characterising movements

A motion and characterization technology, applied in the field of motion capture, can solve the problems of large size, fragility, and high cost

Active Publication Date: 2012-01-04
MOVEA +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the disadvantage of this embodiment is that it requires a detection pad, which is bulky and costly if rigid, but fragile and inaccurate if flexible.
Additionally, the pad limits the reach of possible mobile

Method used

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  • Device and method for characterising movements
  • Device and method for characterising movements
  • Device and method for characterising movements

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] Figure 1a and 1b An example of the positioning of the device according to the invention in various embodiments of the invention is shown.

[0035] Unlike prior art embodiments of DDR devices, the player can move around without placing instrumented pads under his feet. exist Figure 1a In , the player wears sensors on each of his lower extremities, preferably under or on his shoes. The sensor can be integrated into the sole of the shoe, attached to the shoe by elastic wrist straps, or attached to each ankle by elastic wrist straps. Types of sensors that can be used such as Figure 2a shown. Depending on the fixed position of the sensor, calibration may be necessary or useful, such as Figure 5 As explained in.

[0036] The same device can be used to play games other than DDR, mainly walking sims or games that use musical instruments, such as percussion.

[0037] In all cases, the motion capture device is linked to a computing device remote from the player and to a...

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PUM

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Abstract

The invention relates to a device and to a method for characterising movements made by an object, in particular a limb of a human being, fitted with at least one accelerometer sensor. The invention is particularly useful for determining the direction, the orientation and the length of the steps of said human being. The invention uses algorithms for processing the signals from the sensor in order to segment the steps by detecting the lifting and lowering of said limb from and on the floor or ground by comparing output signals from the sensor to thresholds, determine the direction and the orientation of the steps by comparing the maximum values of the signals along two axes substantially parallel to the walking plane, and calculate the length of a step by double integration of the signals according to the direction of the step. The invention can also be used for hand movements having variation characteristics close to those of steps.

Description

technical field [0001] The invention is applied in the field of motion capture. In particular, the invention covers the detection of a dancer's steps, walking or running for game or training purposes. Background technique [0002] A typical application of the invention is the game Dance Dance Revolution (DDR) played in arcades or with a console or PC. In the current embodiment of the game, the player has to perform a series of steps indicated to him on the screen, the series of steps being rhythmic according to the music. The player stands on a flexible or rigid mat comprising cells that can be aligned, arranged in a rectangular or square shape, where the number of said cells can vary from four to six, possibly even nine. Each unit is equipped with a device for detecting the presence of a player. The set points associated with the sequence of dance steps are given by arrows which indicate to which cell the player should move. Thus, the system is able to compare the execu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/103A61B5/11A63F13/06G06F3/01G06F3/033
CPCA61B5/7242G06F3/011G06F3/017A61B5/6807A61B5/681A63F2300/1012G06K9/00348A63F2300/6045G06F3/013G06F3/0346A61B5/1123A63F2300/105G06F2218/00A63F13/00G06V40/25
Inventor Y·卡里图E·德福拉斯C·戈丹G·奥热
Owner MOVEA
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