Skip to main content
Springer Nature Link
Log in

Kinematic Feature-Based Evaluation Method for Elderly Balance Ability by Using Factor Analysis

  • Conference paper
  • First Online:
Pattern Recognition and Computer Vision (PRCV 2019)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11859))

Included in the following conference series:

  • 1881 Accesses

Abstract

Modeling and assessing balance ability for elderly people is an important and realistic task with a view to assisting them in mobility status, correcting postures and preventing accidental falling. The aim of this study was to develop a novel kinematic feature-based evaluation method for elderly balance ability by using factor analysis. Based on the kinematics, twenty-five feature indicators were first extracted from walking gait data, which were collected by deploying twenty-four monitoring points on the body of the elderly subjects. Then, two main factors were identified by using factor analysis that affect the walking balance ability of the elderly, and the comprehensive evaluation scoring model of the elderly balance ability was constructed. Finally, real data from all the elderly subjects in free walking state were used to validate our method. The results of empirical analysis confirm the validity and usefulness of the proposed method.

Student as first author. This work was supported by the Natural Science Foundation of Chongqing, China (cstc2018jcyjAX0587) and Scientific research platform open project of Chongqing Technology and Business University (KFJJ2018059).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Kollmitzer, J., Ebenbichler, G.R., Sabo, A., Kerschan, K., Bochdansky, T.: Effects of back extensor strength training versus balance training on postural control. Med. Sci. Sports Exerc. 32(10), 1770–1776 (2000)

    Article  Google Scholar 

  2. Demura, S.I., Kitabayashi, T.: Body-sway characteristics during a static upright posture in the elderly. Geriatr. Gerontol. Int. 8(3), 188–197 (2010)

    Article  Google Scholar 

  3. Cuaya, G., Muñoz-Meléndez, A., Carrera, L.N., Morales, E.F., Quiñones, I., Pérez, A.I., Alessi, A.: A dynamic Bayesian network for estimating the risk of falls from real gait data. Med. Biol. Eng. Comput. 51(1–2), 29–37 (2013)

    Article  Google Scholar 

  4. Lewek, M.D., Bradley, C.E., Wutzke, C.J., Zinder, S.M.: The relationship between spatiotemporal gait asymmetry and balance in individuals with chronic stroke. J. Appl. Biomech. 30(1), 31–36 (2014)

    Article  Google Scholar 

  5. He, H., Chen, Z., Luo, Y.J., Liu, Q., Xu, Y.L.: Multidimensional evaluation model of elderly people based on 3D monitoring points. In: International Conference on Information Technology, Electrical and Electronic Engineering 2019, ITEEE, Sanya, China, 20–21 January 2019, pp. 326–331 (2019)

    Google Scholar 

  6. Organizing Committee of Asia and Pacific Mathematical Contest. http://www.saikr.com/vse/apmcm/2018?inc=d6d7a35f1539405935. Accessed 21 Dec 2018

Download references

Author information

Authors and Affiliations

  1. Chongqing Engineering Laboratory for Detection, Control and Integrated System, Chongqing Technology and Business University, Chongqing, 400067, China

    Rui Ming & Xing-Rong Fan

  2. College of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

    Rui Ming

  3. Electronic Information and Networking Research Institute, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

    Guoliang Xu

Authors
  1. Rui Ming
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xing-Rong Fan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Guoliang Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xing-Rong Fan .

Editor information

Editors and Affiliations

  1. School of EECS, Peking University, Beijing, China

    Zhouchen Lin

  2. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Liang Wang

  3. Nanjing University of Science and Technology, Nanjing, China

    Jian Yang

  4. Xidian University, Xi’an, China

    Guangming Shi

  5. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  6. Institute of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China

    Nanning Zheng

  7. Chinese Academy of Sciences, Beijing, China

    Xilin Chen

  8. Northwestern Polytechnical University, Xi’an, China

    Yanning Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ming, R., Fan, XR., Xu, G. (2019). Kinematic Feature-Based Evaluation Method for Elderly Balance Ability by Using Factor Analysis. In: Lin, Z., et al. Pattern Recognition and Computer Vision. PRCV 2019. Lecture Notes in Computer Science(), vol 11859. Springer, Cham. https://doi.org/10.1007/978-3-030-31726-3_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-31726-3_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31725-6

  • Online ISBN: 978-3-030-31726-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics