Calculation of Jump Flight Time using a Mobile Device
Ivan Miguel Pires, Nuno M. Garcia, Maria Cristina Canavarro Teixeira
2015
Abstract
This paper describes the research and implementation and validation method of a smartphone application that calculates a vertical jump flight time, using the data collected from the accelerometry sensors in a smartphone. To validate the algorithm results, a statistical number of experiments were performed. While recording the experimental data with a commodity smartphone, a bioPlux Research device equipped with a pressure sensor and with a tri-axial accelerometer was also used to estimate the time the user was airborne while jumping, as a golden standard. The pressure sensor was placed in a jump platform built in the laboratory, and a tri-axial accelerometer was placed on the user’s waist. The data collected by this device were compared with data obtained by smartphone in order to validate the algorithm and make the necessary corrections. The research data and the developed application are available for download and further research in a free and public repository.
References
- Alexander, A. 2012. Smartphone Usage Statistics 2012 (Online). Infographics. Available: http://ansonalex. com/infographics/smartphone-usage-statistics-2012- infographic/ (Accessed 23rd May 2012 2012).
- Bonde-Petersen, F. 1975. A simple force platform. European Journal of Applied Physiology and Occupational Physiology, 34, 51-54.
- Carrillo, H. R. V. 1989. Least squares for different experimental cases. Revista Mexicana de Física, 53, 597-602.
- Das, S., Green, L., Perez, B. & Murphy, M. 2010. Detecting User Activities using the Accelerometer on Android Smartphones.
- Draper, N. R. & Smith, H. 1998. Applied regression analysis, United States of America, Wiley Series in Probabily and Statistics.
- Electro, P. 2014. Polar WearLink®+ transmitter Nike+ | Polar USA (Online). Available: http://www. polar.com/us-en/products/accessories/Polar_WearLink _transmitter_Nike (Accessed 6th January 2014 2014).
- Enoka, R. M. 2008. Neuromechanics of Human Movement, United States of America, Human Kinetics.
- Favre, S., Najafi, B. & Aminian, K. 2005. A System For Vertical Jump Evaluation Using Accelerometers and Gyroscope. DiSS: Symposium du Département Interfacultaire de Sport et de Santé. Lausanne-Switzeralnd.
- Felizardo, V. D. S. 2010. Validação do acelerómetro xyzPlux para estimação do Gasto Energético com aquisição de diversos parâmetros fisiológicos. Mestre em Engenharia Electrotécnica e de Computadores, Universidade da Beira Interior.
- Griffiths, M. D. 2010. Trends in technological advance: Implications for sedentary behaviour and obesity in screenagers. Education and Health, 28, 35-38.
- He, J., Zhao, H. & Fu, Q. Sample Size Analysis for Confidence Interval Estimation of Performance Metrics in ATR Evaluation. In: IEEE, ed. Radar Conference, 2007 IEEE, 17-20 April 2007 2007 Boston, MA. IEEE, 585 - 589.
- Jun, Z., Jizhuang, F., JIE, Z. & WEI, Z. Kinematic analysis of jumping leg driven by artificial muscles. Mechatronics and Automation (ICMA), 2012 International Conference on, 5-8 Aug. 2012 2012. 1004-1008.
- Júnior, N. G. B., Borges, L., Dias, J. A., Wentz, M. D., Mattos, D. J. D. S., Petry, R. & Domenech, S. C. 2011. Validity of a new contact mat system for evaluating vertical jump. Motriz, Rio Claro, 17, 26-32.
- Lau, S. L. & David, K. Movement recognition using the accelerometer in smartphones. In: IEEE, ed. Future Network and Mobile Summit, 2010, 16-18 June 2010 2010 Florence. IEEE, 1 - 9.
- Linthorne, N. P. 2001. Analysis of standing vertical jumps using a force platform. American Journal of Physics, 69, 1198-1204.
- Margulies, S. 1968. Fitting Experimental Data Using the Method of Least Squares. Review of Scientific Instruments, 39, 478.
- Mizell, D. 2003. Using gravity to estimate accelerometer orientation. Seventh Ieee International Symposium on Wearable Computers, Proceedings, 252-253.
- Palma, S., Silva, H., Gamboa, H. & Mil-Homens, P. 2008. Standing jump loft time measurement - An acceleration based method. Biosignals 2008: Proceedings of the First International Conference on Bio-Inspired Systems and Signal Processing, Vol Ii, 393-396.
- Palshikar, G. K. 2009. Simple Algorithms for Peak Detection in Time-Series. Proc. 1st Int. Conf. Advanced Data Analysis, Business Analytics and Intelligence (ICADABAI2009). Ahmedabad.
- Pires, I. M. S. 2012. Aplicação móvel e plataforma Web para suporte à estimação do gasto energético em atividade física. Master's Thesis, University of Beira Interior.
- Plux 2010. bioPlux research user manual, Lisboa, PLUX.
- Quagliarella, L., Sasanelli, N., Belgiovine, G., Moretti, L. & Moretti, B. 2010. Evaluation of standing vertical jump by ankles acceleration measurement. J Strength Cond Res, 24, 1229-36.
- Selvakumar, C. R. 1982. Approximations to Complementary Error Functions by Method of Leat Squares. Proceedings of the IEEE (Online), 70.
- Signals, A. 2012. Main Page - ALLab Signals (Online). Available: http://allab.it.ubi.pt/mediawiki/.
- Susana, P., Hugo, G., Hugo, S. & Pedro, M.-H. 2007. Vertical Jump Flight Time Measurement: A New Method Based on Acceleration Signals. 12th Annual Congress of the ECSS. Jyväskylä, Finland.
- Szmuchrowski, L. A., Ferreira, J. C., Carvalho, R. G. D. S., Barroso, T. M. & Ferreira, R. M. Reliability of a Flight Time Measurement Instrument During Vertical Jump. XXV ISBS Symposium 2007, 2007 Ouro Preto - Brazil.
- Tremblay, M. S., Colley, R. C., Saunders, T. J., Healy, G. N. & Owen, N. 2010. Physiological and health implications of a sedentary lifestyle. Appl. Physiol. Nutr. Metab., 35, 725-740.
- Zhang, J., Zhou, X., Wang, H., Suffredini, A., Zhang, L., Huang, Y. & Wong, S. 2010. Bayesian Peptide Peak Detection for High Resolution TOF Mass Spectrometry. IEEE Trans Signal Process, 58, 5883- 5894.
Paper Citation
in Harvard Style
Pires I., Garcia N. and Canavarro Teixeira M. (2015). Calculation of Jump Flight Time using a Mobile Device . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015) ISBN 978-989-758-068-0, pages 293-303. DOI: 10.5220/0005187502930303
in Bibtex Style
@conference{healthinf15,
author={Ivan Miguel Pires and Nuno M. Garcia and Maria Cristina Canavarro Teixeira},
title={Calculation of Jump Flight Time using a Mobile Device},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)},
year={2015},
pages={293-303},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005187502930303},
isbn={978-989-758-068-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)
TI - Calculation of Jump Flight Time using a Mobile Device
SN - 978-989-758-068-0
AU - Pires I.
AU - Garcia N.
AU - Canavarro Teixeira M.
PY - 2015
SP - 293
EP - 303
DO - 10.5220/0005187502930303