Abstract
Accurate measurements of the dynamics of the human body begins with the measurement data by filtering the acceleration signal evaluation taking into account the different types of human daily physical activity. Considering acceleration measuring device attached several location areas are defined on the body. The methodology of the design of micro acceleration measuring device is presented. The adequacy of accelerometer mathematical model to the physical tested experimentally using a special technique, which consists of six CCD cameras. Methodology and a special method for qualitative analysis of the human body surface tissue motion is presented. Multi level computational model assess the rheological properties of the human body surface. Interesting behavior is observed when comparing the two stages of the jump: the upper position when the velocity is zero, and the maximum speed during landing. Simulation results show that reduced surface tissue rheological model is independent of belt tension force, which is used for mounting the device. Qualitative evaluation of vertical jump, proved that the disregard of human body surface tissue rheological properties are a source of errors (up to 34%) in the analysis of human body movement.
Keywords
- Global Coordinate System
- Vertical Jump
- Residual Analysis
- Finite Impulse Response Filter
- Acceleration Data
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Ananthasures GK (2003) Optimal synthesis methods for MEMS. Kliuver, p 150
Mukherjee T, Zhou Y, Fedder GK (1999) Automated optimal synthesis of accelerometer. In: 12 IEEE International conference micro electro mechanical systems MEMS’99, Orlando, USA, pp 326–331
Yuan W, Chang H, Li W, Ma B (2006) Application of an optimization methodology for multidisciplinary system design of micro gyroscopes. J Microsyst Technol 12(4):315–323
Tay FE, Jun X, Logeeswaran VJ (2000) Optimization methodology for low-g micro accelerometer. J Micromach Microfabr 128:128–139
Pedersen CBW, SeshiaAA (2004) On the optimization of compliant force amplifier mechanisms for surface micromachined resonant accelerometers. J Micromech Microeng 14(10):1281–1293
Ostasevicius V, Gaidys R, Dauksevicius R (2009) Numerical analysis of dynamic effects of a nonlinear vibro-impact process for enhancing the reliability of contact-type MEMS devices. Sensors (Basel) 9(12):10201–10216
Tarabini M, Saggin B, Scaccabarozzi D, Moschioni G (2012) The potential of micro-electro-mechanical accelerometers in human vibration measurements. J Sound Vib 331(2):487–499
Lee H, Park JW, Helal A (2009) Estimation of indoor physical activity level based on footstep vibration signal measured by MEMS accelerometer in smart home environments. In: MELT’09 Proceedings of the 2nd international conference on mobile entity localization and tracking in GPS-less environments, pp 148–162
Bliley KE, Schwab DJ, Holmes DR et al (2006) Design of a compact system using a MEMS accelerometer to measure body posture and ambulation. In: Proceedings-IEEE symposium on computer-based medical systems, pp 335–340
Lyons RG (2011) The discrete Fourier transform. Windowing. In: Understanding Digital Signal Processing, pp 89–95
Lyons RG (2011) Finite impulse response filters. An introduction to finite impulse response (FIR) filters. In: Understanding Digital Signal Processing, pp 170–175
Lyons RG (2011) Infinite impulse response filters. A brief comparison of IIR and FIR filters. In: Understanding Digital Signal Processing, pp 332–333
Armin G (1997) Fundamentals of videogrammetry—a review. Hum Mov Sci 16:155–187
Bouten CVC, Koekkoek KTM, Verduin M, Kodde R, Janssen JD (1997) A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity. IEEE Trans Biomed Eng 44:136–147
Benevicius V, Ostasevicius V, Gaidys R (2013) Human body rheology impact on measurements in accelerometer applications. J Mech/Mech 19(1):40–45
Ledoux WR, Hillstrom HJ (2001) Acceleration of the calcaneus at heel strike in neutrally aligned and pes planus feet. Clin Biomech (Bristol, Avon) 16(7):608–13
Qu H, Fang D, Xie HA (2008) Monolithic CMOS-MEMS 3 axis accelerometer with low noise, low power dual chopper amplifier. IEEE Sensors J 8(9):1511–1518
Reilly SP, Leach RK, Cuenat A, Awan SA, Lowe M (2006) Overview of MEMS sensors and the metrology requirements for their manufacture, NPL Report DEPC-EM 008
Yoshida K, Matsumoto Y, Ishida M, Okada K (1998) High-sensitive three axis SOI capacitive accelerometer using dicing method. In: 16th sensor symposium, pp 25–28
Benevicius V, Ostasevicius V, Venslauskas M, Dauksevicius R, Gaidys R (2011) Finite element model of MEMS accelerometer for accurate prediction of dynamic characteristics in biomechanical applications. J Vibroeng/Vibromech (Lithuanian Academy of Sciences, Kaunas University of Technology, Vilnius Gediminas Technical University. Vibromechanika, Vilnius) 13(4):803–809
Benevicius V, Ostasevicius V, Gaidys R (2013) Identification of capacitive MEMS accelerometer structure parameters for human body dynamics measurements. Sensors 13(9):11184–11195
Müller-Riemenschneider F, Reinhold T, Berghöfer A, Willich SN (2008) Health-economic burden of obesity in Europe. Eur J Epidemiol 23(8):499–509
WHO/Europe (2011) Home. http://www.euro.who.int/en/home [2011/06/13]
Neck support collar. http://www.soospine.com/images/1miami_jB.jpg
Benevicius V, Gaidys R, Ostasevicius V, Marozas V (2014) Identification of rheological properties of human body surface tissue. J Biomech 47(6):1368–1372
Markidou A, Shih WY, Shigh W (2005) Soft-materials elastic and shear moduli measurement using piezoelectric cantilevers. Rev Sci Instrum 76(6):7
Gennisson JL, Baldeweck T, Tanter M, Catheline S, Fink Mathias, Sandrin L, Cornillon C, Querleux B (2004) Assesment of elastic parameters of human skin using dynamic elastography. IEEE Trans Ultrason Ferroelectr Freq Control 51(8):980–989
Mukherjee S, Chawla A, Mohan D, Metri M (2006) Modeling of body parts consisting of bones as well as soft tissue: an experimental and finite element study. In: IRCOBI conference, Lisbon, Portugal, pp 367–368
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Ostasevicius, V., Janusas, G., Palevicius, A., Gaidys, R., Jurenas, V. (2017). MEMS Applications for Obesity Prevention. In: Biomechanical Microsystems . Lecture Notes in Computational Vision and Biomechanics, vol 24. Springer, Cham. https://doi.org/10.1007/978-3-319-54849-4_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-54849-4_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-54848-7
Online ISBN: 978-3-319-54849-4
eBook Packages: EngineeringEngineering (R0)