Skip to main content
SpringerLink
Log in

Development and verification of a volume sensor for measuring human behavior

  • Published:
International Journal of Precision Engineering and Manufacturing Aims and scope Submit manuscript

Abstract

In this study, a muscle volume sensor was developed to estimate the human behavior for its application to bioengineering and synchronous signal collection. The sensor is easily manufactured at a low cost. In addition, its wearability is good, and it can measure the human motion intent using a simple algorithm. This study tested the developed sensor, verified the test results, and applied the sensor to an actual wearable robot to further verify its effectiveness. The results of this study can allow the application of the sensor for a gait assistance device, to the upper and lower extremities, and to medical and industrial equipment.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Abbreviations

x i :

Value of X-axis (where i = 1,2,...,n)

\(\bar x\) :

Average of x i

y i :

Value of Y-axis (where i = 1,2,...,n)

\(\bar y\) :

Average of y i

SS err :

Total sum of squares

SS tot :

Residuals sum of squares

References

  1. Kiguchi, K., Imada, Y., and Liyanage, M., “EMG-based Neurofuzzy control of a 4DOF upper-limb power-assist exoskeleton,” 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3040–3043, 2007.

  2. Sato, T., Nishida, Y., Ichikawa, J., Hatamura, Y., and Mizoguchi, H., “Active understanding of human intention by a robot through monitoring of human behavior,” Proc. of the IEEE/RSJ/ GI International Conference on Intelligent Robots and Systems, Vol. 1, pp. 405–414, 1994.

    Google Scholar 

  3. Moromugi, S., Okamoto, A., Kim, S. H., Tanaka, H., Ishimatsu, T., and Koujina, Y., “Device for assisting grasping function (2nd Report: maneuverability Evaluation),” ICCAS 2003, pp. 2665–2669, 2003.

  4. Moromugi, S., Koujina, Y., Ariki, S., Okamoto, A., Tanaka, T., Feng, M. Q., and Ishimatsu, T., “Muscle stiffness sensor to control an assistance device for the disabled,” Artificial Life and Robotics, Vol. 8, No. 1, pp. 42–45, 2004.

    Article  Google Scholar 

  5. Bien, Z. Z., Park, K.-H., Jung, J.-W., and Do, J.-H., “Intention reading is essential in human-friendly interfaces for the elderly and the handicapped,” IEEE Transactions on Industrial Electronics, Vol. 52, No. 6, pp. 1500–1505, 2005.

    Article  Google Scholar 

  6. De Luca, C. J., “The Use of Surface Electromyography in Biomechanics,” Journal of Applied Biomechanics, Vol. 13, No. 2, pp. 135–163, 1997.

    Google Scholar 

  7. Seo, A. R., Han, C. S., Jang, H. Y., Lee, H. D., Kim, W. S., Yu, S. N., and Han, J. S., “Development of muscle volume sensor for the measuring human behavior,” Proc. of the KSPE Spring Conference, pp. 951–952, 2010.

  8. Steel, R. G. D., Torrie, J. H., and Dickey, D. A., “Principles and Procedures of Statistics: A Biometrical Approach,” McGraw-Hill, p. 187, 287, 1960.

  9. Kong, K. C. and Jeon, D. Y., “Design and control of an exoskeleton for the elderly and patients,” IEEE/ASME Transactions on Mechatronics, Vol. 11, No. 4, pp. 428–432, 2006.

    Article  Google Scholar 

  10. Fukunaga, T., Miyatani, M., Tachi, M., Kouzaki, M., Kawakami, Y., and Kanehisa, H., “Muscle volume is a major determinant of joint torque in human,” Acta Physiol. Scand., Vol. 172, No. 4, pp. 249–255, 2001.

    Article  Google Scholar 

  11. Silver, F. H., Freeman, J. W., and DeVore, D., “Viscoelastic properties of human skin and processed dermis,” Skin Research & Technology, Vol. 7, No. 1, pp. 18–23, 2001.

    Article  Google Scholar 

  12. Lim, H. S. and Chung, K. Y., “Measurement of Skin Hardness with Durometer in Normal Korean Individuals,” Korean Journal of Dermatology, Vol. 40, No. 1, pp. 19–24, 2002.

    Google Scholar 

  13. Heo, P. W., Gu, G. M., Lee, S.-J., Rhee, K. H., and Kim, J., “Current Hand Exoskeleton Technologies for Rehabilitation and Assistive Engineering,” Int. J. Precis. Eng. Manuf., Vol. 13, No. 5, pp. 807–824, 2012.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Mechatronics Engineering, Hanyang University, 1271, Sa-dong, Sangrok-gu, Ansan-si, Gyeonggi-do, South Korea, 426-791

    A. Reum Seo

  2. School of Mechanical Engineering, Hanyang University, 1271, Sa-dong, Sangrok-gu, Ansan-si, Gyeonggi-do, South Korea, 426-791

    Hye Youn Jang, Wan Soo Kim & Chang Soo Han

  3. School of Mechanical System Engineering, Hansung University, 389, Samseon-dong 2-ga, Seongbuk-gu, Seoul, South Korea, 136-792

    Jung Soo Han

Authors
  1. A. Reum Seo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hye Youn Jang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wan Soo Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chang Soo Han
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jung Soo Han
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chang Soo Han.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Seo, A.R., Jang, H.Y., Kim, W.S. et al. Development and verification of a volume sensor for measuring human behavior. Int. J. Precis. Eng. Manuf. 13, 899–904 (2012). https://doi.org/10.1007/s12541-012-0117-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12541-012-0117-0

Keywords

Search

Navigation