US-20260124501-A1 - METHOD FOR CLASSIFYING A MOVEMENT, AND A MOVEMENT CLASSIFICATION SYSTEM

US20260124501A1US 20260124501 A1US20260124501 A1US 20260124501A1US-20260124501-A1

Abstract

A method for classifying a movement by a movement classification system having a plurality of peripheral classification elements and a central classification unit. The peripheral classification elements are arranged on different body parts of a person, and each classifies the movement of the person based on sensor data. The method includes: receiving classification data of the plurality of peripheral classification elements using the central classification unit), wherein the classification data each include at least one peripheral classification value; classifying the movement and generating a classification value using the central classification unit based on the peripheral classification values of the plurality of peripheral classification elements; and outputting the classification value to a display unit using the central classification unit.

Inventors

Jeena John
Unn Dahlen
Fredrik Nordstroem

Assignees

ROBERT BOSCH GMBH

Dates

Publication Date: 20260507
Application Date: 20251017
Priority Date: 20241107

Claims (15)

1 . A method for classifying a movement by a movement classification system having a plurality of peripheral classification elements and a central classification unit, wherein the peripheral classification elements are arranged on different body parts of a person and each classifies the movement of the person based on sensor data, the method comprising the following steps: receiving classification data of the plurality of peripheral classification elements using the central classification unit, wherein the classification data each include at least one peripheral classification value; classifying the movement and generating a classification value using the central classification unit based on the peripheral classification values of the plurality of peripheral classification elements; and outputting the classification value to a display unit using the central classification unit.
2 . The method according to claim 1 , wherein the classification value ascertained by the central classification unit matches one of the peripheral classification values provided by the plurality of peripheral classification elements when the the one peripheral classification value was provided by at least a predefined number of the peripheral classification elements.
3 . The method according to claim 1 , wherein the classification data each further includes at least one movement value, and wherein the method further comprises: ascertaining a count value of cyclic partial movements of the movement based the movement values of the plurality of peripheral classification elements using the central classification unit; and outputting the count value to the display unit using the central classification unit.
4 . The method according to claim 3 , wherein the movement values provided by the peripheral classification elements each describe incremental movement sections of the cyclic partial movements of respective body parts on which the peripheral classification elements are arranged, and wherein the ascertaining of the count value includes: selecting the peripheral classification elements of which the provided peripheral classification value matches the classification value of the central classification unit; adding up the movement values provided by the peripheral classification elements at different times and generating a cumulative movement value for at least one selected peripheral classification element; ascertaining an average movement value based on the cumulative movement values of the selected peripheral classification elements when the at least one cumulative movement value of the at least one selected peripheral classification element reaches or exceeds a value of a complete cycle of the cyclic partial movement; and increasing the count value by a value of “one” as soon as the average movement value reaches or exceeds a value of a complete cycle of a cyclic movement.
5 . The method according to claim 1 , further comprising: ascertaining a success value for a peripheral classification element when the peripheral classification value provided by the peripheral classification element matches the classification value ascertained by the central classification unit; and evaluating a performance of the plurality of peripheral classification elements using the central classification unit based on the success values.
6 . The method according to claim 3 , wherein ascertaining ( 107 ) further comprises: ascertaining a movement speed of the cyclic partial movements ascertained by the peripheral classification elements based on the movement values provided by the peripheral classification elements and based on time stamps provided by the peripheral classification elements for the movement values, and generating speed values using the central classification unit, wherein the time stamps define times at which the movement values were ascertained by the peripheral classification elements.
7 . The method according to claim 3 , wherein the peripheral classification values and/or the movement values of a peripheral classification element of the plurality of peripheral classification elements are disregarded for the ascertainment of the classification value and/or for the ascertainment of the count value, when a time period between peripheral classification values and/or movement values provided successively by the same peripheral classification element exceeds a predefined limit value.
8 . The method according to claim 1 , further comprising: ascertaining a pause in the movement using the central classification unit when a number of the peripheral classification elements that have provided a peripheral classification value matching the classification value ascertained by the central classification unit falls below a predefined number, and a time period between peripheral classification values provided successively by at least one peripheral classification element reaches or falls below a predefined time period.
9 . The method according to claim 3 , further comprising: ascertaining that the movement classification system is in an idle state when a number of the peripheral classification elements that have provided a peripheral classification value matching the classification value ascertained by the central classification unit falls below the predefined number, and a time period between peripheral classification values provided successively by at least one peripheral classification element exceeds a predefined time period.
10 . The method according to claim 9 , further comprising: resetting the classification value and/or the count value and/or a speed value and/or success values using the central classification unit when the idle state of the movement classification system has been ascertained.
11 . The method according to claim 3 , wherein the classified movement is one from the following list: walking, running, hiking, mountain climbing, swimming, cross-country skiing, cycling, and wherein the count value relates to a cyclic partial movement from the following list: step, swimming arm stroke, swimming leg kick, cycling crank revolution.
12 . A movement classification system, comprising: a central classification unit; and a plurality of peripheral classification elements, wherein the peripheral classification elements each include at least one movement sensor; wherein the movement classification system is configured to classifying a movement including by: receiving classification data of the plurality of peripheral classification elements using the central classification unit, wherein the classification data each include at least one peripheral classification value, classifying the movement and generating a classification value using the central classification unit based on the peripheral classification values of the plurality of peripheral classification elements, and outputting the classification value to a display unit using the central classification unit.
13 . The movement classification system according to claim 12 , wherein the peripheral classification elements and/or the central classification unit are wearables.
14 . A computing unit configured to classifying a movement by a movement classification system having a plurality of peripheral classification elements and a central classification unit, wherein the peripheral classification elements are arranged on different body parts of a person and each classifies the movement of the person based on sensor data, the computing unit configured to perform the following steps comprising: receiving classification data of the plurality of peripheral classification elements using the central classification unit, wherein the classification data each include at least one peripheral classification value; classifying the movement and generating a classification value using the central classification unit based on the peripheral classification values of the plurality of peripheral classification elements; and outputting the classification value to a display unit using the central classification unit.
15 . A non-transitory computer-readable medium on which is stored a computer program product including commands for classifying a movement by a movement classification system having a plurality of peripheral classification elements and a central classification unit, wherein the peripheral classification elements are arranged on different body parts of a person and each classifies the movement of the person based on sensor data, the commands, when executed by a data processor, causing the data processor to perform the following steps: receiving classification data of the plurality of peripheral classification elements using the central classification unit, wherein the classification data each include at least one peripheral classification value; classifying the movement and generating a classification value using the central classification unit based on the peripheral classification values of the plurality of peripheral classification elements; and outputting the classification value to a display unit using the central classification unit.

Description

CROSS REFERENCE The present application claims the benefit under 35 U.S.C. § 119 of Germany Patent Application No. DE 10 2024 210 707.7 filed on Nov. 7, 2024, which is expressly incorporated herein by reference in its entirety. FIELD The present invention relates to a method for classifying a movement and to a movement classification system. BACKGROUND INFORMATION Certain methods for classifying a movement are described in the related art. SUMMARY It is an object of the present invention to provide an improved method for classifying a movement and a movement classification system. The object may be achieved by the method for classifying a movement and the movement classification system of the present invention. Advantageous embodiments of the present invention are disclosed herein. According to one aspect of the present invention, a method is provided for classifying a movement by a movement classification system having a plurality of peripheral classification elements and a central classification unit, wherein the peripheral classification elements are arranged on different body parts of the person and each classify the movement of the person on the basis of sensor data. According to an example embodiment of the present invention, the method comprises: receiving classification data of the plurality of peripheral classification elements by means of the central classification unit, wherein the classification data each comprise at least one peripheral classification value;classifying the movement and generating a classification value by means of the central classification unit on the basis of the peripheral classification values of the plurality of peripheral classification elements; andoutputting the classification value to a display unit by means of the central classification unit. A technical advantage of being able to provide an improved method for classifying a movement can thereby be achieved. The method is carried out by a movement classification system comprising a plurality of peripheral classification elements and a central classification unit. The multiple peripheral classification elements are arranged on body parts of a moving person and are configured to classify the movement of the person on the basis of sensor values. The central classification unit is data-connected to the multiple peripheral classification elements and receives classification data from the multiple peripheral classification elements. The classification data comprise at least peripheral classification values, wherein each peripheral classification value represents the classification of the movement performed by the corresponding peripheral classification element. According to an example embodiment of the present invention, the central classification unit creates a classification value of the movement on the basis of the multiple peripheral classification values of the multiple peripheral classification elements. The classification value of the movement is thus based on the multiple peripheral classification values of the individual peripheral classification elements. Greater precision of the classification of the movement of the person can thereby be achieved. Because the different peripheral classification elements are arranged at different locations on the person's body, multiple movements of individual body parts of the person can be taken into account in the classification. The precision of the movement classification can thereby be improved further. The correspondingly generated classification value is then output to a display unit. This allows the display of the corresponding movement classification of the person using the movement classification system. According to one example embodiment of the present invention, the classification value ascertained by the central classification unit matches one of the peripheral classification values provided by the plurality of peripheral classification elements if the corresponding peripheral classification value was provided by at least a predefined number of peripheral classification elements. A technical advantage of greater precision of the classification of the movement can thereby be achieved. The classification value generated by the central classification unit matches the peripheral classification values provided by the peripheral classification elements if a predefined number of the peripheral classification elements provide the same peripheral classification value. According to one example embodiment of the present invention, the classification data each further comprise at least one movement value, wherein the method further comprises: ascertaining a count value of cyclic partial movements of the movement on the basis of the movement values of the plurality of peripheral classification elements by means of the central classification unit; and outputting the count value to the display unit by means of the central classification unit. A technical advantage can thereby be a