Control of Muscle Force During Exercise Using a Musculoskeletal-Exoskeletal Integrated Human Model

Ueda, Jun; Matsugashita, Masayuki; Oya, Reishi; Ogasawara, Tsukasa

doi:10.1007/978-3-540-77457-0_14

Cited by 10 publications

(14 citation statements)

References 8 publications

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“…In our research, a detailed human musculoskeletal model was developed to improve the accuracy of muscle force control (Ueda et al 2006). Figure 3 shows the musculoskeletal model in our research, which is used to analyze the kinematic characteristic and estimate the human muscle force.…”

Section: Muscle Force and Human Motion(step 1)mentioning

confidence: 99%

Pinpointed muscle force control via optimising human motion and external force

Ding

Hirasawa

Kurita

et al. 2012

IJMA

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The main focus of our research is to control the load of selected muscles by using a power-assisting device, thus enabling more effective motion support, rehabilitation and training by explicitly specifying the target muscles. In our past research, a control method was proposed for static human motion. The results of simulation and experiments showed that it is possible to control the force of selected muscle individually. However, the past method we proposed was only considered for constant posture, which led to a large effect of non-target muscle. In this paper, a new pinpointed muscle force control method is proposed to reduce the effect of non-target muscle taking into account human motion and external force. Human motion and external force was optimized individually in a double-loop searching algorithm, which reduced the computational cost. By calculating the posture step by step, this method can also be used for quasi-static motion. The validity of this method was confirmed by measuring surface EMG signals for each muscle.

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Section: Muscle Force and Human Motion(step 1)mentioning

confidence: 99%

Pinpointed muscle force control via optimising human motion and external force

Ding

Hirasawa

Kurita

et al. 2012

IJMA

Self Cite

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“…For analyzing the kinematic characteristic of a human, a musculoskeletal model of the human upper right limb has been developed [2] as shown in Fig. 2 …”

Section: Pin-pointed Muscle Force Controlmentioning

confidence: 99%

“…In this paper, a quadratic cost function (r = 2) is used for simplicity. The feasibility of this function has been demostrated by past research [2]. Note that by using this estimation method only the contracting muscle effectively works, hereafter called active muscle.…”

Section: [Step 2] Muscle Force Estimationmentioning

confidence: 99%

Development of MAS - a system for pin-pointed muscle force control using a power-assisting device

Ding

Ueda

Ogasawara

2007

2007 IEEE International Conference on Robotics and Biomimetics (ROBIO)

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This paper proposes a system MAS (Muscle Assistant System), which controls designated muscle forces by controlling a power-assisting device. MAS estimates muscle force based on posture measured by a motion capture system. The feasibility of the muscle force control for an object muscle is checked based on constrained optimization problem. For realizing the target force, the driving-force of power-assisting device is calculated and controlled. Using this pin-pointed muscle force control method, the effective rehabilitation and sports training is provided.

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“…In recent years, great progress in the development of new actuators has been presented using, e.g., shape memory alloys (Srinivasan and McFarland 2001;Fu et al 2004), pneumatic rubber actuators (Sanchez et al 1998;Caldwell and Tsagarakis 2002), conductive polymers (Shahinpoor et al 2000;Hara et al 2004;Plante and Dubowsky 2006), and piezoelectric materials (Newnham et al 1993;Dogan et al 1994;Haertling 1994;Onitsuka et al 1995;Uchino 1997;Dogan et al 1997;Janker et al 1999;Canfield and Frecker 2000;Niezrecki et al 2001;Conway et al 2007). These novel actuators are particularly useful in human assistive technologies (Alexander et al 1992; Lee and Sankai 2002;Tsagarakis and Caldwell 2003;Krebs et al 2004;Toth et al 2004;Perry and Rosen 2006;Veneman et al 2007;Ming et al 2008;Ueda et al 2008a) and biomedical robotic applications. Beyond the obvious engineering benefits, use of these new actuator technologies in robotic systems gives researchers an experimental platform to explore the basis behind human motion and robotic duplication of this motion.…”

Section: Introductionmentioning

confidence: 99%

A fingerprint method for variability and robustness analysis of stochastically controlled cellular actuator arrays

MacNair

Ueda

2011

The International Journal of Robotics Research

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In this paper we present a 'fingerprint method' for modeling and subsequently characterizing stochastically controlled actuator arrays. The actuator arrays are built from small actuator cells with structural elasticity. These cells are controlled using a bistable stochastic process wherein all cells are given a common input probability (control) value which they use to determine whether to actuate or relax. Arranging the cells in different networks gives different actuator array properties, which must be found before the actuator arrays can be applied to manipulators. The fingerprint method is used to describe and automatically generate every possible stochastic actuator array topology for a given number of cells, and to calculate actuator array properties such as: travel, required actuator strength/displacement, force range, force variance, and robustness for any array topology. The properties of several illustrative examples are shown and a discussion covers the importance of the properties, and trends between actuator array layouts and their properties. Finally, results from a validation experiment using a stochastically controlled solenoid array are presented.

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Control of Muscle Force During Exercise Using a Musculoskeletal-Exoskeletal Integrated Human Model

Cited by 10 publications

References 8 publications

Pinpointed muscle force control via optimising human motion and external force

Pinpointed muscle force control via optimising human motion and external force

Development of MAS - a system for pin-pointed muscle force control using a power-assisting device

A fingerprint method for variability and robustness analysis of stochastically controlled cellular actuator arrays

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