Application of Inertial Navigation System in Portable Human Body Joint Power Test System

A portable human body joint power test system was developed using inertial sensor technology and wireless Bluetooth acquisition technology. A detailed description of the internal structure of the system and the data-processing method involved is provided. The test system uses the cubic spline interpolation method, which is very convenient for obtaining the maximum peak points of muscle isotonic contraction joint power curves under different loads. Moreover, the system is portable and can be deployed in the classroom and the playground for education and testing. The test system is very useful in many respects, such as athlete selection and daily strength training. We established a model of our subject using a balanced proportion scaling method in the inverse dynamics software Any Body Modeling System. The muscle model uses the Hill muscle model. The data import interface program was written in the parameterized model definition language Any Script to import data. The raw data was smoothed with a Butterworth low-pass filter. Dumbbell curl simulation was conducted in Any Body. The results of the simulation and those of the real test system were tested using the paired samples T-test method, the value of Sig was determined to be greater than 0.05, indicating no significant difference and that the data of the test system are valid.

[1]  D. Chaffin,et al.  The effect of torque direction and cylindrical handle diameter on the coupling between the hand and a cylindrical handle. , 2007, Journal of biomechanics.

[2]  S K Adams,et al.  Maximum Voluntary Hand Grip Torque for Circular Electrical Connectors , 1988, Human factors.

[3]  T J Armstrong,et al.  An Ellipsoidal Representation of Human Hand Anthropometry , 1991, Human factors.

[4]  Thomas J. Armstrong,et al.  Investigation of Grip Force, Normal Force, Contact Area, Hand Size, and Handle Size for Cylindrical Handles , 2008, Hum. Factors.

[5]  Brian J. Briscoe,et al.  Friction and lubrication of human skin , 2007 .

[6]  J L Sancho-Bru,et al.  A 3-D dynamic model of human finger for studying free movements. , 2001, Journal of biomechanics.

[7]  D J Giurintano,et al.  A 3D biomechanical model of the hand for power grip. , 2003, Journal of biomechanical engineering.

[8]  Katharyn A. Grant,et al.  An analysis of handle designs for reducing manual effort: The influence of grip diameter , 1992 .

[9]  K N An,et al.  Normative model of human hand for biomechanical analysis. , 1979, Journal of biomechanics.

[10]  A A Amis,et al.  Variation of finger forces in maximal isometric grasp tests on a range of cylinder diameters. , 1987, Journal of biomedical engineering.

[11]  Yong-Ku Kong,et al.  Evaluation of meat-hook handle shapes , 2003 .

[12]  B. Buchholz,et al.  Anthropometric data for describing the kinematics of the human hand. , 1992, Ergonomics.

[13]  K. Rim,et al.  Measurement of finger joint angles and maximum finger forces during cylinder grip activity. , 1991, Journal of biomedical engineering.

[14]  Matt Carré,et al.  The effect of normal force and roughness on friction in human finger contact , 2009 .

[15]  J W Garrett,et al.  The Adult Human Hand: Some Anthropometric and Biomechanical Considerations , 1971, Human factors.

[16]  S N Imrhan,et al.  Male torque strength in simulated oil rig tasks: the effects of grease-smeared gloves and handle length, diameter and orientation. , 1999, Applied ergonomics.