CN110827952B - 一种用于评估康复训练动作有效性的人体关节权值分配方法 - Google Patents

一种用于评估康复训练动作有效性的人体关节权值分配方法 Download PDF

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CN110827952B
CN110827952B CN201910870824.7A CN201910870824A CN110827952B CN 110827952 B CN110827952 B CN 110827952B CN 201910870824 A CN201910870824 A CN 201910870824A CN 110827952 B CN110827952 B CN 110827952B
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谢光强
禤骏
李杨
周欣晖
卢俊廷
陈俊丰
梁仕翘
陈文戈
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Guangdong University of Technology
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    • A63SPORTS; GAMES; AMUSEMENTS
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    • A63B24/00Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0062Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
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Abstract

本发明公开了一种用于评估康复训练动作有效性的人体关节权值分配方法,包括下述步骤:步骤一,采集用户康复动作的骨骼数据;步骤二,根据两帧动作间的骨骼向量差的平方和计算骨骼的运动量大小,并根据运动量大小对标准康复动作进行初次骨骼关节权值评估;步骤三,根据人体骨骼间各关节的影响,重新分配骨骼关节权值;本发明在应用于评估康复训练动作时,能够更好地呈现一个合乎人类主观的分数结果,这样的分数才能更好地协助医生分析用户的康复情况;同时,用户也能切实地体会到自身动作与标准动作的差距,而并不是单纯的一个机械分数。

Description

一种用于评估康复训练动作有效性的人体关节权值分配方法
技术领域
本发明涉及计算机技术领域,具体涉及一种用于评估康复训练动作有效性的人体关节权值分配方法。
背景技术
在现实中,有许许多多的病症都需要做肢体康复训练,如关节痉挛、肌肉萎缩等神经功能障碍、肢体残疾、脑瘫、脑中风等,这些病症都可以通过患者的自主锻炼进行抑制甚至康复,所以一般患者都会主动接受康复训练,但是由于有些康复训练需要达到某些标准,如:弯曲时的角度,动作持续的时间等,这些标准非专业医护人员很难准确的做到判断是否达标,所以患者无法知道自己做的训练是否有效。为了使患者在家里也能够进行康复训练,需要研究一种针对于评估康复动作是否达标的方法;对于康复动作来说,某个骨骼动作幅度越大,那么该骨骼在整个康复训练当中,比一直静止的动作来说,重要性更大一些,权值应该较大。同时,还应该考虑到各骨骼之间的影响,这些影响也会影响到骨骼权值的分配。
发明内容
本发明的目的在于克服现有技术的缺点与不足,提供一种用于评估康复训练动作有效性的人体关节权值分配方法,该方法通过体感设备Kinect捕获到的标准康复动作人体数据以及当前的康复动作数据,能够在动作相似度分析中,针对康复动作的特点分配各关节权值。
本发明的目的通过下述技术方案实现:
一种用于评估康复训练动作有效性的人体关节权值分配方法,包括下述步骤:
步骤一,采集用户康复动作的骨骼数据;
步骤二,根据两帧动作间的骨骼向量差的平方和计算骨骼的运动量大小,并根据运动量大小对标准康复动作进行初次骨骼关节权值评估;
步骤三,根据人体骨骼间各关节的影响,重新分配骨骼关节权值。
优选地,所述步骤一中,利用Kinect采集人体骨骼数据,将收集到的25个骨骼点,去除手指和脚趾关节,构成16个骨骼向量,用作描述动作。
优选地,所述步骤二中,根据标准动作,同一个骨骼向量在两帧之间,以向量差的平方和的方式估算运动量大小;每根骨骼权值为其占所有骨骼动作向量差的平方和之比。
优选地,所述步骤三中,根据骨骼之间的关节影响,有父骨骼和子骨骼之分;将人体分为上半身和下半身;如果父骨骼有运动,则父骨骼和子骨骼间的权值做平均。
本发明与现有技术相比具有以下的有益效果:
(1)本发明在应用于评估康复训练动作时,能够更好地呈现一个合乎人类主观的分数结果,这样的分数才能更好地协助医生分析用户的康复情况;同时,用户也能切实地体会到自身动作与标准动作的差距,而并不是单纯的一个机械分数;
(2)本发明针对父骨骼对子骨骼叠加影响,通过对每个骨骼间的匹配分配一个权值,增强关键骨骼对整体分数的影响,从而使最终所呈现的分数更加贴近人类主观意识上的判断。
附图说明
图1为本发明的流程图;
图2为本发明的人体关节数据示意图;
图3为本发明的骨骼关节示意图。
具体实施方式
下面结合实施例及附图对本发明作进一步详细的描述,但本发明的实施方式不限于此。
如图1~3所示,本发明提出了一种基于关节权值和DTW的针对康复动作的评分方法,采用Kinect2.0设备采集人体动作数据,采集到的人体关节数据如图2所示。
所述Kinect2.0设备是一款体感设备,它可以捕捉人体的动作、声音等信息,进行研究与分析。在过去的设备使用过程中,主要是使用鼠标、键盘或者手柄等方式进行人机交互,这样的方式在长期使用之后也出现了很多的弊端,例如长期使用这种方式会变得很无趣;很多时候,人们想要的是一个动作就可以通知计算机自己要做的事情,也就是可以切身地进入到场景之中。基于这种需求,Kinect体感交互技术出现并成为当下非常热门的一种技术。
由于Kinect无法准确的识别手指头和脚的数据,所以去掉由以下关节组成的骨骼向量:
FootLeft-AnkleLeft
FootRight,AnkleRight
HandTipLeft,HandLeft
ThumbLeft,HandLeft
HandLeft,WristLeft
HandTipRight,HandRight
ThumbRight,HandRight
HandRight,WristRight
所以使用的人体数据的向量共有16根。
保存标准人体骨骼数据。在每一帧中,保存构成康复动作的16根骨骼空间向量的值。一套动作由许多帧组成,一个动作保存成一个文件。
录制康复动作。在做康复动作的时候,使用kinect录制,并利用上述方法将动作数据保存到文件中。
初次计算康复动作中的权值:同一个骨骼向量在两帧之间,以向量差的平方和的方式估算运动量大小。设定一个动静动作量阀值N,小于N的动作将其动作量置0。每根骨骼权值为其占所有骨骼动作向量差的平方和之比。
根据骨骼之间的关节影响,有父骨骼和子骨骼之分。将人体分为上半身和下半身。如果父骨骼有运动,即原始权值不为0,则父骨骼和后续子骨骼间的权值做平均。
图3为骨骼关节图,其中父子骨骼的区分为(骨骼用数字序号代替,数字出现先后为父子骨骼,前者为父,后面的都是子骨骼):
(1)对于上半身:
如果0、1有运动,则0、1、2、3、4、5、6、7、8、15作为一个父子骨骼影响。
如果0、1没有运动,则父子骨骼分为以下部分:
15、2
3、4、5
6、7、8
(2)对于下半身,则父子骨骼分为以下部分:
9、10、11
12、13、14
针对父骨骼对子骨骼叠加影响,通过对每个骨骼间的匹配分配一个权值,增强关键骨骼对整体分数的影响,从而使最终所呈现的分数更加贴近人类主观意识上的判断;若父骨骼的偏差过大,相对于子骨骼的偏差,会导致分数更低,这也能让用户更加清晰地了解到自身动作与标准动作的差异是主要源自于父骨骼的偏差。
本发明在应用于评估康复训练动作时,能够更好地呈现一个合乎人类主观的分数结果,这样的分数才能更好地协助医生分析用户的康复情况;同时,用户也能切实地体会到自身动作与标准动作的差距,而并不是单纯的一个机械分数。
上述为本发明较佳的实施方式,但本发明的实施方式并不受上述内容的限制,其他的任何未背离本发明的精神实质与原理下所作的改变、修饰、替代、组合、简化,均应为等效的置换方式,都包含在本发明的保护范围之内。

Claims (1)

1.一种用于评估康复训练动作有效性的人体关节权值分配方法,其特征在于,包括下述步骤:
步骤一,采集用户康复动作的骨骼数据;
步骤二,根据两帧动作间的骨骼向量差的平方和计算骨骼的运动量大小,并根据运动量大小对标准康复动作进行初次骨骼关节权值评估;
步骤三,根据人体骨骼间各关节的影响,重新分配骨骼关节权值;
所述步骤一中,利用Kinect采集人体骨骼数据,将收集到的25个骨骼点,去除手指和脚趾关节,构成16个骨骼向量,用作描述动作;
所述步骤二中,根据标准动作,同一个骨骼向量在两帧之间,以向量差的平方和的方式估算运动量大小;每根骨骼权值为其占所有骨骼动作向量差的平方和之比;
所述步骤三中,根据骨骼之间的关节影响,有父骨骼和子骨骼之分;将人体分为上半身和下半身;如果父骨骼有运动,则父骨骼和子骨骼间的权值做平均。
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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108986884A (zh) * 2018-05-31 2018-12-11 杭州同绘科技有限公司 一种平衡康复与认知康复相融合的训练系统和方法
CN109102857A (zh) * 2018-05-31 2018-12-28 杭州同绘科技有限公司 一种智能化肢体康复训练系统和方法

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108986884A (zh) * 2018-05-31 2018-12-11 杭州同绘科技有限公司 一种平衡康复与认知康复相融合的训练系统和方法
CN109102857A (zh) * 2018-05-31 2018-12-28 杭州同绘科技有限公司 一种智能化肢体康复训练系统和方法

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