Modeling of the biodynamic responses distributed at the fingers and palm of the hand in three orthogonal directions (original) (raw)
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Biodynamic response of the human hand-arm models under vibration
Proceedings of the …, 2008
Haya Shida, Subscribe (Full Service), Register (Limited Service, Free), Login. Search: The ACM Digital Library The Guide. ... Virtual Reality Systems. Academic press, Harcourt Brace & Company. 12. Ozkaya, N., Nordin, M., 1991. Fundamentals of Biomechanics. ...
Driving-point mechanical impedance of the human hand-arm system: synthesis and model development
Journal of Sound and Vibration, 1995
A synthesis of the measured values of human male hand-arm impedance characteristics reported in the literature has been performed. The driving-point mechanical impedance data of the human hand-arm grasping a vibrating handle has been compared to highlight the various similarities and differences among the data. Unexplained differences among the results of various studies, conducted independently under nominally equivalent measurement conditions, led to the exclusion of outliers from the analysis. The most probable values of impedance phase and magnitude are defined by lower and upper envelopes of the mean values of the accepted data sets. The mean of the data sets, together with the smoothened envelopes, are used to define the target and range of idealized values of the Xh , Yh and Zh components of impedance in the 10-1000 Hz frequency range. A pooling of results from different studies suggests that there is a small dependence of the Xh component of impedance magnitude on the hand grip forces. The dependence of the phase of the corresponding impedance component on the hand grip force, however, is insignificant. There is insufficient data from independent sources to establish a dependence of other components of impedance on the hand grip and thrust forces. A four-degrees-of-freedom, lumped parameter model is derived to fit the target impedance magnitude and phase values using a constrained optimization algorithm. The predicted values correlate well with the target values in the selected frequency range.
Jurnal Teknologi
Assessing a glove for its ability to reduce vibration transmitted to the hand can be improved if the transmissibility of the glove to the hand can be predicted. This study proposes a simple lumped parameter model of the hand and the glove for predicting the transmissibility of a glove to the hand. The model of the hand consists of three main body segments: the palm, the fingers, and the palm tissues, connected via translational and rotational springs and dampers. The glove material was represented by translational spring and damper. The results showed that the glove transmissibility predicted using the model overestimated the glove transmissibility measured experimentally at frequencies greater than 62 Hz, implying that a simple three degree-of-freedom model of the hand and the glove may not be able to provide a reasonable prediction of glove transmissibility.
Distribution of mechanical impedance at the fingers and the palm of the human hand
Journal of Biomechanics, 2005
A comprehensive understanding of the complex biodynamic response of the human fingers-hand-arm system may help researchers determine the causation of injuries arising from hand-transmitted vibration. This study theoretically demonstrates that the mechanical impedance (MI) in a hand power grip, as a measure of the biodynamic response of the system, can be divided into finger MI and palm MI. A methodology is developed to measure them separately and to investigate their distribution characteristics. This study involves 6 adult male subjects, constant-velocity sinusoidal excitations at 10 different discrete frequencies (16, 25, 40, 63, 100, 160, 250, 400, 630, 1000 Hz), and three different hand-handle coupling conditions. Our results suggest that at low frequencies (p40 Hz), the palm MI is substantially higher than the finger MI; the majority of the hand MI remains distributed at the palm up to 100 Hz; and at frequencies higher than 160 Hz, the finger MI is comparable to or higher than the palm MI. Furthermore, at frequencies equal to or above 100 Hz, the finger MI is practically independent of the palm-handle coupling conditions. Knowledge of the MI distribution pattern may increase the understanding of vibration transmission to the hand and aid in the development of effective isolation devices. r
Identification of Behavior of Anti–Vibration Gloves by ARMAX Model
In the literature many researches propose models of biodynamic responses of the human handarm sys-tem to identify mechanical characteristics. In this paper the Authors suggest a method for the time domain identification of modal parameters of a vibrating structure using Z–transformation sequences. This identifi-cation proceeds using the Z–transfer function of a vibrating structure coming from the ARMAX model of the vibrating structure. The modal parameters can be identified by this ARMAX model in time domain data. To demonstrate the application and efficiency of the method, it is proposed a test on human hand and arm exposed to mechanical vibrations. [
2014
This research proposes a synthesis of the measured values of human male hand–arm impedance characteristics, reported in the literature. The driving point mechanical impedance data of the human hand–arm, grasping a vibrating handle, has been compared to highlight the various similarities and differences among the data. The DPMI response of the hand–arm system has been measured in many studies, under controlled test conditions. Considerable differences exist among the data reported by different investigators. The dependence of the impedance response on various intrinsic and extrinsic variables, including the frequency and the direction of vibration, the grip and push forces, the vibration amplitude and individual characteristics, has been widely inestigated in the reported studies. It is proposed an effort to systematically quantify the influences of many of these factors.[DOI:10.12866/J.PIVAA.2013.12.001] 1
Analysis of Driving–Point Mechanical Impedance of the Human Hand Arm System
In this study, the Authors propose the discussion of nonlinearity of the human body's dynamic response. The variables that affect nonlinearity of the human body's dynamic response in the experimental measurements can be distinguished in two categories: intrinsic variables, relating to the individual subjects; and extrinsic variables, relating to the experimental conditions. International Standard 5982 : 2002 gives idealized values for the apparent mass and the seat-to-head transmissibility of seated people exposed to vertical vibration. The values are intended for the development of mechanical models to represent the body. Many mathematical models of the vertical apparent mass of the seated human body are developed. Single and two-degree-of-freedom models obtain a good agreement with experimental seat transmissibility by nonlinear least squares method and Trust-Region algorithm. The comparison between single and two-degree-offreedom models by goodness-of-fit statistics suggests that two-degree-of-freedom model is recommended for best results. . Effects of posture and vibration magnitude on apparent mass and pelvis rotation during exposure to whole-body vertical vibration. Journal of Sound and Vibration, 253 :93-107, 2002. N.J Mansfield and S. Maeda. Comparison of the apparent mass of the seated human measured using random and sinusoidal vibration. Industrial Health, 43:233-240, 2005. Y. Matsumoto and M. J. Griffin. Effect of muscle tension on non-linearities in the apparent masses of seated subjects exposed to vertical to vertical whole-body vibration. Journal of Sound and Vibration, 253:77-92, 2002. Y. Matsumoto and M.J. Griffin. Movement of the upper-body of seated subjects exposed to vertical whole-body vibration at the principal resonance frequency. Journal of Sound and Vibration, 215(4):743-762, 1998. H. Mertens. Nonlinear behavior of sitting human under increasing gravity. Aviation, Space, and Environmental Medicine, 49:287-298, 1978. N. Nawayseh and M.J. Griffin. Non-linear dual-axis biodynamic response to vertical whole-body vibration. Journal of Sound and Vibration, 268:503-523, 2003. N. Nawayseh and M.J. Griffin. Non-linear dual-axis biodynamic response to fore-and-aft wholebody vibration. Journal of Sound and Vibration, 282:831-862, 2005. N. Nawayseh and M.J. Griffin. A model of the vertical apparent mass and the fore-and-aft crossaxis apparent mass of the human body during vertical whole-body vibration. of two dynamic manikins for laboratory testing of seats under whole-body vibration. International Journal of Industrial Ergonomics, 38:457-470, 2008. G.S. Paddan and M.J. Griffin. The transmission of translational seat vibration to the head-i. vertical seat vibration. Journal of Biomechanics, 21(3):191-197, 1988. G.S. Paddan and M.J. Griffin. A review of the transmission of translational seat vibration to the head. Journal of Sound and Vibration, 215(4):863-882, 1998. G.S. Paddan and M.J. Griffin. Evaluation of whole-body vibration in vehicles. Journal of Sound and Vibration, 253(1):195-213, 2002. M.K. Patil and M.S. Palanichamy. A mathematical model of tractor-occupant system with a new seat suspension for minimization of vibration response. Applied Mathematical Modelling, 12(1): 63-71, 1988. Yi Qiu and M.J. Griffin. Modelling the fore-and-aft apparent mass of the human body and the transmissibility of seat backrests. Vehicle System Dynamics, 49(5):703-722, 2011.
Hand-Arm Vibrations. An Interdisciplinary Engineering and Medical Study
This work has been performed within a research project financially supported by the Romanian Ministry of Education, Research and Youth. The main objective is to develop technics, specifications and methodologies for thoroughly study the mechanical vibration phenomenon the human body is subjected to during practising a profession, potential sourse of occupational diseases. At the same time, it is intended to develop modern methods of dynamic (vibration) analysis and of active control advanced systems, for protecting the human body against vibrations.
A Sequential Approach to the Biodynamic Modeling of a Human Finger
Shock and Vibration, 2017
In an effort to understand the vibration-induced injuries incurred by manual workers, mechanical models are developed and used to predict the biodynamic responses of human body parts that are exposed to vibration. Researchers have traditionally focused on the arms and hands, but there has been only limited research on finger modeling. To simulate the accurate response of a single finger, a detailed mechanical model based on biodynamic finger measurements is necessary. However, the development of such models may prove difficult using the traditional one-point coupling method; therefore, this study proposes a new approach. A novel device for single-finger measurements is presented and used to expose the finger to a single-axial broadband excitation. The sequentially measured responses of the different finger parts are then used to identify the parameters of a multibody mechanical model of the index finger. Very good agreement between the measured and the simulated data was achieved, a...