应用于康复治疗的多摄像系统：微软Kinect传感器的精度研究

Miguel OLIVER; Francisco MONTERO; Jos Pascual MOLINA; Pascual GONZLEZ; Antonio FERNNDEZ-CABALLERO

doi:10.1631/FITEE.1500347

Your Location：

Home >

Browse articles >

应用于康复治疗的多摄像系统：微软Kinect传感器的精度研究

分布式计算与人工智能专辑 | Updated：2022-05-19

- 应用于康复治疗的多摄像系统：微软Kinect传感器的精度研究
- Multi-camera systems for rehabilitation therapies: a study of the precision of Microsoft Kinect sensors#
- 信息与电子工程前沿（英文） 2016年17卷第4期页码：348-364
- Affiliations：
  
  1Instituto de Investigacin en Informtica de Albacete, Universidad de Castilla-La Mancha, Albacete 02071, Spain
  2Departamento de Sistemas Informticos, Universidad de Castilla-La Mancha, Albacete 02071, Spain
- Author bio：
  
  E-mail:Antonio.Fdez@uclm.es
- Funds：
  
  Project partially supported by Spanish Ministerio de Economa y Competitividad/FEDER (Nos. TIN2012-34003 and TIN2013- 47074-C2-1-R) and FPU Scholarship (FPU13/03141) from the Spanish Government;#A preliminary version was presented at the 13th International Conference on Practical Applications of Agents and Multi-Agent Systems, June 3-4, 2015, Spain
- DOI：10.1631/FITEE.1500347
  中图分类号： TP391
- 收稿：2015-10-21，
  
  录用：2016-3-9，
  
  纸质出版：2016-04
- Accepted：
Scan QR Code
应用于康复治疗的多摄像系统：微软Kinect传感器的精度研究[J]. 信息与电子工程前沿（英文）, 2016,17(4):348-364.

Miguel OLIVER, Francisco MONTERO, Jos Pascual MOLINA, et al. Multi-camera systems for rehabilitation therapies: a study of the precision of Microsoft Kinect sensors#[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(4): 348-364.
应用于康复治疗的多摄像系统：微软Kinect传感器的精度研究[J]. 信息与电子工程前沿（英文）, 2016,17(4):348-364. DOI： 10.1631/FITEE.1500347.

Miguel OLIVER, Francisco MONTERO, Jos Pascual MOLINA, et al. Multi-camera systems for rehabilitation therapies: a study of the precision of Microsoft Kinect sensors#[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(4): 348-364. DOI： 10.1631/FITEE.1500347.

摘要

目的

借助多组Kinect传感器监控试验研究多组红外光束的重合对定位的影响。

方法

首先介绍了近年来使用微软Kinect传感器开发康复系统的研究成果，以及红外饱和度衍生问题的相关研究。指出现有研究没有系统全面考虑干扰因素以及不同传感器布局的影响。然后，采用一系列实验先后分析了监控器数量、光照角度以及传感器和病人之间的距离等因素对监控精度的影响；说明了在康复系统中适宜同时在一个房间中进行康复的合适病人数、病人本身的身体状况对监控准确度的影响、以及房间内部的机构对传感器布局的影响。最后，将本文的研究结果和已有研究成果进行详细对比，并将实验收集的数据和得到的结果用于预测康复系统中每种传感器布局的效果。

结论

本文试验发现能够支持康复治疗地点监控传感器的合理布局设计，并实现控制被监控病人的数量。当病人不在治疗的合适区域内时，能够给出提示并引导其移动至合适位置。在康复过程中，该系统能够帮助识别出最适合监控每一位病人的传感器。

Abstract

This paper seeks to determine how the overlap of several infrared beams affects the tracked position of the user

depending on the angle of incidence of light

distance to the target

distance between sensors

and the number of capture devices used. We also try to show that under ideal conditions using several Kinect sensors increases the precision of the data collected. The results obtained can be used in the design of telerehabilitation environments in which several RGB-D cameras are needed to improve precision or increase the tracking range. A numerical analysis of the results is included and comparisons are made with the results of other studies. Finally

we describe a system that implements intelligent methods for the rehabilitation of patients based on the results of the tests carried out.

关键词

Keywords

references

B Bonnechre , , , B Jansen , , , P Salvia , , , 等 . . Determination of the precision and accuracy of morphological measurements using the Kinect TM sensor: comparison with standard stereophotogrammetry . . Ergonomics , , 2014 . . 57 ( ( 4 ): ): 622 - - 631 . . DOI: 10.1080/00140139.2014.884246 http://doi.org/10.1080/00140139.2014.884246 . .

Y Chang , , , S Chen , , , J Huang . . A Kinect-based system for physical rehabilitation: a pilot study for young adults with motor disabilities . . Res. Deve. Disabil. , , 2011 . . 32 ( ( 6 ): ): 2566 - - 2570 . . DOI: 10.1016/j.ridd.2011.07.002 http://doi.org/10.1016/j.ridd.2011.07.002 . .

K Essmaeel , , , L Gallo , , , E Damiani , , , 等 . . Temporal denoising of Kinect depth data . . 2012 . . Proc. 8th Int. Conf. on Signal Image Technology and Internet Based Systems . . 47 - - 52 . . DOI: 10.1109/SITIS.2012.18 http://doi.org/10.1109/SITIS.2012.18 . .

K Essmaeel , , , L Gallo , , , E Damiani , , , 等 . . Comparative evaluation of methods for filtering Kinect depth data . . Multim. Tools Appl. , , 2014 . . 74 ( ( 17 ): ): 7331 - - 7354 . . DOI: 10.1007/s11042-014-1982-6 http://doi.org/10.1007/s11042-014-1982-6 . .

A Fernndez-Baena , , , A Susn , , , X Lligadas . . Biomechanical validation of upper-body and lower-body joint movements of Kinect motion capture data for rehabilitation treatments . . 2012 . . Proc. 4th Int. Conf. on Intelligent Networking and Collaborative Systems . . 656 - - 661 . . DOI: 10.1109/iNCoS.2012.66 http://doi.org/10.1109/iNCoS.2012.66 . .

D Freitas , , , A da Gama , , , L Figueiredo , , , 等 . . Development and evaluation of a Kinect based motor rehabilitation game . . 2012 . . Proc. SBGames . . 144 - - 153 . . . .

H Gonzalez-Jorge , , , B Riveiro , , , E Vazquez-Fernandez , , , 等 . . Metrological evaluation of Microsoft Kinect and Asus Xtion sensors . . Measurement , , 2013 . . 46 ( ( 6 ): ): 1800 - - 1806 . . DOI: 10.1016/j.measurement.2013.01.011 http://doi.org/10.1016/j.measurement.2013.01.011 . .

H Haggag , , , M Hossny , , , D Filippidis , , , 等 . . Measuring depth accuracy in RGBD cameras . . 2013 . . Proc. 7th Int. Conf. on Signal Processing and Communication Systems . . 1 - - 7 . . DOI: 10.1109/ICSPCS.2013.6723971 http://doi.org/10.1109/ICSPCS.2013.6723971 . .

K Khoshelham , , , S.O Elberink . . Accuracy and resolution of Kinect depth data for indoor mapping applications . . Sensors , , 2012 . . 12 ( ( 2 ): ): 1437 - - 1454 . . DOI: 10.3390/s120201437 http://doi.org/10.3390/s120201437 . .

T Mallick , , , P.P Das , , , A.K Majumdar . . Characterizations of noise in Kinect depth images: a review . . IEEE Sens. J. , , 2014 . . 14 ( ( 6 ): ): 1731 - - 1740 . . DOI: 10.1109/JSEN.2014.2309987 http://doi.org/10.1109/JSEN.2014.2309987 . .

A Mkhitaryan , , , D Burschka . . RGB-D sensor data correction and enhancement by introduction of an additional RGB view . . 2013 . . Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems . . 1077 - - 1083 . . DOI: 10.1109/IROS.2013.6696484 http://doi.org/10.1109/IROS.2013.6696484 . .

S.M Olesen , , , S Lyder , , , D Kraft , , , 等 . . Real-time extraction of surface patches with associated uncertainties by means of Kinect cameras . . J. Real-Time Image Process. , , 2015 . . 10 ( ( 1 ): ): 105 - - 118 . . DOI: 10.1007/s11554-012-0261-x http://doi.org/10.1007/s11554-012-0261-x . .

M Oliver , , , J.P Molina , , , F Montero , , , 等 . . A multisensor system for positioning of multiple users . . 2014a . . Proc. XV Int. Conf. on Human Computer Interaction, Article 59. . . DOI: 10.1145/2662253.2662312 http://doi.org/10.1145/2662253.2662312 . .

M Oliver , , , J.P Molina , , , F Montero , , , 等 . . Wireless multisensory interaction in an intelligent rehabilitation environment . . 2014b . . Proc. 5th Int. Symp. on Ambient Intelligence . . 193 - - 200 . . DOI: 10.1007/978-3-319-07596-9_21 http://doi.org/10.1007/978-3-319-07596-9_21 . .

M Oliver , , , F Montero , , , J.P Molina , , , 等 . . How many Kinects should look at you? A multi-agent system approach . . 2015a . . Proc. 13th Int. Conf. on Practical Applications of Agents and Multi-Agent Systems . . 105 - - 112 . . DOI: 10.1007/978-3-319-19629-9_12 http://doi.org/10.1007/978-3-319-19629-9_12 . .

M Oliver , , , F Montero , , , A Fernndez-Caballero , , , 等 . . RGB-D assistive technologies for acquired brain injury: description and assessment of user experience . . Expert Syst. , , 2015b . . 32 ( ( 3 ): ): 370 - - 380 . . DOI: 10.1111/exsy.12096 http://doi.org/10.1111/exsy.12096 . .

D Regazzoni , , , G de Vecchi , , , C Rizzi . . RGB cams vs RGB-D sensors: low cost motion capture technologies performances and limitations . . J. Manuf. Syst. , , 2014 . . 33 ( ( 4 ): ): 719 - - 728 . . DOI: 10.1016/j.jmsy.2014.07.011 http://doi.org/10.1016/j.jmsy.2014.07.011 . .

浏览量

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

暂无数据