scholarly journals T-16 Modeling and Experimental Identification for Muscular Force Estimation Based on Evoked EMG in FES

2010 ◽  
Vol 43 ◽  
pp. S66
Author(s):  
M. Hayashibe ◽  
Q. Zhang ◽  
D. Guiraud ◽  
C. Fattal ◽  
P. Fraisse
Keyword(s):  
Muscular Force ◽  
Force Estimation ◽  
Experimental Identification

Experimental Identification and Analysis of the Dynamics of a PHANToM Premium 1.5A Haptic Device

2008 ◽  
Vol 17 (4) ◽  
pp. 327-343 ◽  
Author(s):  
Babak Taati ◽  
Amir M. Tahmasebi ◽  
Keyvan Hashtrudi-Zaad
Keyword(s):  
Inverse Dynamics ◽  
Viscous Friction ◽  
Force Sensor ◽  
Friction Model ◽  
Haptic Device ◽  
Gravity Compensation ◽  
Force Estimation ◽  
Experimental Identification ◽  
Hand Force ◽  
Haptic Simulation

The dynamics of a PHANToM Premium 1.5A haptic device from SensAble Technologies, Inc. is experimentally identified and analyzed for different installations of the device and its accessories, such as the typical upright, upside down, with gimbal and counterbalance weight, and with force sensor.1 An earlier formulation of the robot dynamic model is augmented with a friction model, linearly parameterized, and experimentally identified using least squares. The identified dynamics are experimentally evaluated with an inverse dynamics controller and verified by comparing user hand force estimates with the measured values. The contribution of different dynamic terms such as inertial, Coriolis and centrifugal, gravitational, and Coulomb and viscous friction are demonstrated and discussed. The identified model can be used for a variety of haptic applications, such as hand force estimation, accurate active gravity compensation and counterbalance weight determination for various installation conditions, and model-based control for haptic simulation and teleoperation.

ICM-based experimental identification of couple unbalance for GyroWheel system

2017 ◽  
Author(s):  
Haiyuan Liu ◽  
Xin Huo ◽  
Zhaosheng Guo ◽  
Sizhao Feng ◽  
Yongjiang Pi ◽  
...  
Keyword(s):  
Experimental Identification

Effect of the speed of taekwondo kick execution on the muscular force production, obtained by biomechanical modeling

2019 ◽  
Vol 3 (5) ◽  
pp. 42-49
Author(s):  
Pedro Vieira Sarmet Moreira ◽  
◽  
Kristy Alejandra Godoy Jaimes ◽  
Luciano Luporini Menegaldo ◽  
◽  
...  
Keyword(s):  
Force Production ◽  
Biomechanical Modeling ◽  
Muscular Force

Voltage- and Current-Measurement Based Force Estimation in Broaching Using Synchronous Motor Drive

2020 ◽  
Author(s):  
Kazumasa Miura ◽  
Tobias Seelbach ◽  
Thorsten Augspurger ◽  
Daniel Schraknepper ◽  
Thomas Bergs
Keyword(s):  
Synchronous Motor ◽  
Current Measurement ◽  
Motor Drive ◽  
Force Estimation ◽  
Synchronous Motor Drive

A Survey on Computational Methods for Essential Proteins and Genes Prediction

2019 ◽  
Vol 14 (3) ◽  
pp. 211-225 ◽  
Author(s):  
Ming Fang ◽  
Xiujuan Lei ◽  
Ling Guo
Keyword(s):  
Computational Methods ◽  
Drug Targets ◽  
Disease Genes ◽  
Essential Proteins ◽  
Experimental Identification ◽  
Cellular Life ◽  
Different Types ◽  
The Stability ◽  
Human Disease Genes ◽  
Biology Research

Background: Essential proteins play important roles in the survival or reproduction of an organism and support the stability of the system. Essential proteins are the minimum set of proteins absolutely required to maintain a living cell. The identification of essential proteins is a very important topic not only for a better comprehension of the minimal requirements for cellular life, but also for a more efficient discovery of the human disease genes and drug targets. Traditionally, as the experimental identification of essential proteins is complex, it usually requires great time and expense. With the cumulation of high-throughput experimental data, many computational methods that make useful complements to experimental methods have been proposed to identify essential proteins. In addition, the ability to rapidly and precisely identify essential proteins is of great significance for discovering disease genes and drug design, and has great potential for applications in basic and synthetic biology research. Objective: The aim of this paper is to provide a review on the identification of essential proteins and genes focusing on the current developments of different types of computational methods, point out some progress and limitations of existing methods, and the challenges and directions for further research are discussed.

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