EP-4394788-B1 - PRACTICE SUPPORT APPARATUS, PRACTICE SUPPORT METHOD, AND PRACTICE SUPPORT PROGRAM

EP4394788B1EP 4394788 B1EP4394788 B1EP 4394788B1EP-4394788-B1

Inventors

INABA, Ryuichiro
HIRAKAWA, Nao
KO, YUKI
Nakayama, Kazunaga
NOMURA, YASUHIRO

Dates

Publication Date: 20260506
Application Date: 20231211

Claims (4)

A practice support apparatus (30) comprising: an acquisition unit (31) configured to acquire log data and evaluation data indicating an evaluation of the log data regarding exercise of a user (1) from a sensor (10) worn by the user (1); a record controller (33) configured to record the log data and the evaluation data over time for the user (1); a model creation unit (34) configured to create model information on an exercise pattern for the user (1) on the basis of the log data and the evaluation data; and a suggestion unit (35) configured to suggest practice menu information for the user (1) on the basis of the created model information, wherein the model creation unit (34) is further configured to use a range of variation in the log data for the user (1) over a certain period of time to create a relational equation for form characteristics unique to the user (1), and the practice menu information is suggested further based on the relational equation, wherein the suggestion unit (35) is configured to suggest an amount of practice for the practice event of the user (1) on the basis of the model information, and wherein the model information created by the model creation unit (34) includes risk information for quantified injury, the suggestion unit (35) is configured to correct posture information of the user (1) on the basis of the risk information contained in the model information and suggest a posture on the basis of the corrected posture information, and characterized in that a regression model created by a regression analysis for the log data acquired in advance using an indicator of susceptibility to injury as the objective variable and indicators directed to pace, time, running time, pitch, stride, stride to height ratio, backward tilt of trunk, vertical motion, vertical motion to height ratio, body drop, pelvic drop, pelvic lift, pelvic rotation, pelvic rotation time point, horizontal impact force, kicking phase duration, ground contact time, ground contact time rate, landing impact, kicking acceleration, amount of braking, and stiffness as independent variables is used as the risk information for quantified injury.
The practice support apparatus (30) according to claim 1, wherein the model creation unit (34) is configured to create the risk information for quantified injury on the basis of subjective evaluation data indicating fatigue, poor condition, and pain entered by the user (1).
A practice support method causing a computer to execute the steps of: acquiring log data and evaluation data related to exercise of a user (1) from a sensor (10) worn by the user (1); recording the log data and the evaluation data over time for the user (1); creating model information on an exercise pattern for the user (1) on the basis of the log data and the evaluation data; and suggesting practice menu information for the user (1) on the basis of the created model information, using a range of variation in the log data for the user (1) over a certain period of time to create a relational equation for form characteristics unique to the user (1), and suggesting the practice menu information further based on the relational equation, wherein the suggesting includes suggesting an amount of practice for the practice event of the user (1) on the basis of the model information, and wherein the created model information includes risk information for quantified injury, the suggesting further includes correcting posture information of the user (1) on the basis of the risk information contained in the model information and suggesting a posture on the basis of the corrected posture information, and characterized in that a regression model created by a regression analysis for the log data acquired in advance using an indicator of susceptibility to injury as the objective variable and indicators directed to pace, time, running time, pitch, stride, stride to height ratio, backward tilt of trunk, vertical motion, vertical motion to height ratio, body drop, pelvic drop, pelvic lift, pelvic rotation, pelvic rotation time point, horizontal impact force, kicking phase duration, ground contact time, ground contact time rate, landing impact, kicking acceleration, amount of braking, and stiffness as independent variables is used as the risk information for quantified injury.
A practice support program causing a computer to embody the functions of: acquiring log data and evaluation data related to exercise of a user (1) from a sensor (10) worn by the user (1); recording the log data and the evaluation data over time for a user (1); creating model information on an exercise pattern for the user (1) on the basis of the log data and the evaluation data; and suggesting practice menu information for the user (1) on the basis of the created model information, using a range of variation in the log data for the user (1) over a certain period of time to create a relational equation for form characteristics unique to the user (1), and suggesting the practice menu information further based on the relational equation, wherein the suggesting includes suggesting an amount of practice for the practice event of the user (1) on the basis of the model information, and wherein the created model information includes risk information for quantified injury, the suggesting further includes correcting posture information of the user (1) on the basis of the risk information contained in the model information and suggesting a posture on the basis of the corrected posture information, and characterized in that a regression model created by a regression analysis for the log data acquired in advance using an indicator of susceptibility to injury as the objective variable and indicators directed to pace, time, running time, pitch, stride, stride to height ratio, backward tilt of trunk, vertical motion, vertical motion to height ratio, body drop, pelvic drop, pelvic lift, pelvic rotation, pelvic rotation time point, horizontal impact force, kicking phase duration, ground contact time, ground contact time rate, landing impact, kicking acceleration, amount of braking, and stiffness as independent variables is used as the risk information for quantified injury.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention This invention relates to a practice support system, practice support method, and practice support program. The present invention especially relates to a practice support system, practice support method, and practice support program that utilize a sensor worn by a subject to be supported. 2. Description of Related Art Running ability is considered very important not only for track and field athletes but also for athletes of ball games and other sports. It is considered important to record and analyze the posture of the athletes during the movements such as walking and running. The gait analysis system disclosed in WO2019/082376 A1 s capable of computing gait-related evaluation reference such as a gait age, an appearance age, and a beauty posture evaluation value by sequentially measuring the three-dimensional coordinates of a plurality of predetermined body feature points of a subject as the subject walks. According to WO2019/082376 A1, a subject is capable of recognizing the objective evaluation of her/his gait by recognizing the evaluation reference computed by the gait analysis system disclosed in WO2019/082376 A1. The gait analysis system disclosed in WO2019/082376 A1 uses a three dimensional measurement device to measure the three dimensional coordinates of a plurality of physical feature points of the subject. For example, one of the commercially available devices, Kinect (registered trademark) manufactured by Microsoft Corporation of the United States, can be used as this three dimensional measurement device. The gait analysis system disclosed in WO2019/082376 A1 is also applicable to the analysis of the posture of the athletes during the movements. The posture of the athletes during the movements may be measured by the three dimensional measurement device to record and analyze the posture of the athletes during the movements. Athletes complain of the needs not only to obtain an objective evaluation of their own posture while moving such as when they are walking or running but also of the need for practice menu information to improve their running ability tailored to each individual athlete, and with respect to such needs of the athletes, the gait analysis system disclosed in WO2019/082376 A1fails to consider even suggesting the practice menu information and is unable to meet such needs. Furthermore, US 2013/053990 A1 discloses a system for analyzing an activity session performed by a user to identify one or more types of activity performed by the user during the activity session. Thereby, received activity data are processed against the classifications to and identify one or more activities performed during the activity session, wherein the multiple types of parameters defining an activity comprise any combination of two or more of: resistance experienced or generated by the user, effort exerted by the user or health of the user during the one or more activities. Still further, US 2018/369637 A1 refers to a training system including a garment having a sensor control module connected to multiple sensor nodes via electrically-conductive fabric running along parts portions of the garment. SUMMARY OF THE INVENTION It is an object of this disclosure to provide a practice support system, a practice support method, and a practice support program that are on the basis of an objective evaluation of posture of an athlete during movement such as the posture at a time of walking and running, and are capable of suggesting practice menu information suitable for each individual athlete for the purpose of improving running ability. According to the invention, this object is achieved by a practice support apparatus according to claim 1, a practice support method according to claim 3, and a practice support program according to claim 4. Further features and advantageous modifications are shown in the dependent claims. That is, a practice support apparatus according to a first aspect comprises: an acquisition unit that acquires log data and evaluation data indicating an evaluation of the log data regarding exercise of a user from a sensor worn by the user; a record controller that records the log data and the evaluation data over time for each user; a model creation unit that creates model information on an exercise pattern for each user on the basis of the log data and the evaluation data; and a suggestion unit that suggests practice menu information for the user on the basis of the created model information. The model creation unit is further configured to use the range of variation in the log data for the user (1) over a certain period of time to create a relational equation for form characteristics unique to the user, and the practice menu information is suggested further based on the relational equation. According to the invention, the suggestion unit is configured to suggest an amount of practice for each practice event of the user on the basis of the model i