Abstract
This presented stability part become less stable reacting high while closing the eyes in the posture change. Vision condition shows that the average was slightly lower with Vi-μ BENO. Vestibular condition present that the average was slightly larger with Ve-μ AENO. CNS condition shows that the average was diminutive more with C-μ BENO, and the outcome shows that the eye close situation has changed more than the eye open situation of body moving after. The average was slightly larger with C-μ AENO. This system consisted of a data acquisition system, data signal processing, and feedback system. This system was evaluated a data dynamic posture through the stability and body sway. This system will be expressed to an assessment for activity body. It was expected to confirm a body activity and to control bio-physical condition for a long time.
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© 2012 Springer-Verlag Berlin Heidelberg
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Kim, Jl., Yeom, Hj. (2012). Estimating of the Dynamic Postural Stability on the Bio-sensor Processing System. In: Lee, G., Howard, D., Ślęzak, D., Hong, Y.S. (eds) Convergence and Hybrid Information Technology. ICHIT 2012. Communications in Computer and Information Science, vol 310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32692-9_93
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DOI: https://doi.org/10.1007/978-3-642-32692-9_93
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32691-2
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