Abstract
In Japan, the ratio of people with lifestyle-related diseases has increased to approximately 30%. Individuals as well as the Nation are getting more and more health-conscious, and special attention has been made to body trunk because it is vital for injury prevention, physical strength, and beauty. Various training methods have been proposed to increase the muscle mass of body trunk. However, for sports that emphasize somatoform such as dance, the strength of the trunk is mainly decided by smooth use of the trunk rather than its muscle mass. In this paper, in order to evaluate the use of the trunk torsion movement, we proposed a new trunk torsion model for the purpose of evaluating two trunk torsion standard movements. We also developed a mobile application named “Axis Visualizer” based on the proposed trunk torsion model analyzing sensor data in the device. Axis Visualizer generates higher score when a user rotates the shoulders or hips smoothly with axis fixed and high frequencies. This application can support trainers and coaches to visualize the use of customers’ trunk and to increase the training effect.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
White Paper in 2015, Cabinet Office, Government Of Japan. http://www8.cao.go.jp/kourei/whitepaper/w-2015/html/zenbun/index.html [in Japanese]
Cowley, P.M., Fitzgerald, S., Sottung, K., Swensen, T.: Age, weight, and the front abdominal power test as predictors of isokinetic trunk strength and work in young men and women. J. Strength Cond. Res. 23(3), 915–925 (2009)
Biering-Sørensen, F.: Physical measurements as risk indicators for low-back trouble over a one-year period. Spine 9(2), 106–119 (1984)
McGill, S.M.: Low back stability: from formal description to issues for performance and rehabilitation. Exerc. Sport Sci. Rev. 29(1), 26–31 (2001)
Baechle, T.R.: Essentials of strength training and conditioning. In: National Strength and Conditioning Association (NSCA), 3rd edn. (2008)
Behm, D.G., Drinkwater, E.J., Willardson, J.M., et al.: The use of instability to train the core musculature. Appl. Physiol. Nutr. Metab. 35(1), 91–108 (2010)
Panjabi, M.M.: The stabilizing system of the spine. J. Spinal Disorder 5(4), 390–397
Majewski-Schrage, T., Evans, T.A., Ragan, B.: Development of a core-stability model: a delphi approach. J. Sport Rehabil. 23(2), 95–106 (2013)
Sahrmann, S.A.: Diagnosis and Treatment of Movement Impairment Syndromes. Mosby, St. Louis (2002)
Shumway-Cook A, Marjorie Woollacott, Motor Control: Translating Research into Clinical Practice, 2nd edn (1999)
WDSF Latin Technique Books and DVD, The World DanceSport Federation. https://www.worlddancesport.org/WDSF/Academy/Technique_Books
Nakamura, Y., Yamane, K., Suzuki, I., Fujita, Y.: Somatosensory computation for man-machine interface from motion capture data and musculoskeletal human model. IEEE Trans. Robot. (2004)
Acknowledgment
This study was partly supported by Japanese METI’s “Robotic Care Equipment Development and Introduction Project”, “Future AI and Robot Technology Research and Development Project” commissioned by the New Energy and Industrial Technology Development Organization (NEDO) and JSPS KAKENHI Grant Numbers 24500676 and 25730190. We would also like to thank the member of the health promotion project in Odaiba and Tsukuba for their kind support.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Nishimura, T. et al. (2017). Axis Visualizer: Enjoy Core Torsion and Be Healthy for Health Promotion Community Support. In: Otake, M., Kurahashi, S., Ota, Y., Satoh, K., Bekki, D. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2015. Lecture Notes in Computer Science(), vol 10091. Springer, Cham. https://doi.org/10.1007/978-3-319-50953-2_26
Download citation
DOI: https://doi.org/10.1007/978-3-319-50953-2_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-50952-5
Online ISBN: 978-3-319-50953-2
eBook Packages: Computer ScienceComputer Science (R0)