Biomechanical simulation and control of hands and tendinous systems

Sachdeva, Prashant; Sueda, Shinjiro; Bradley, Susanne; Fain, Mikhail; Pai, Dinesh K.

doi:10.1145/2766987

Cited by 40 publications

(30 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous work using semi-implicit integrators to achieve computational efficiency in hand simulations has been reported by Sueda et al (2008). Sachdeva et al (2015) reported a simulation of index finger motion (4 DOF) using a step size of 3ms that required 8 seconds of computation time for each second of motion simulated.…”

Section: Introductionmentioning

confidence: 99%

Real-time simulation of hand motion for prosthesis control

Blana

Chadwick

Bogert

et al. 2016

Computer Methods in Biomechanics and Biomedical Engineering

View full text Add to dashboard Cite

Individuals with hand amputation suffer substantial loss of independence. Performance of sophisticated prostheses is limited by the ability to control them. To achieve natural and simultaneous control of all wrist and hand motions, we propose to use real-time biomechanical simulation to map between residual EMG and motions of the intact hand. Here we describe a musculoskeletal model of the hand using only extrinsic muscles to determine whether real-time performance is possible. Simulation is 1.3 times faster than real time, but the model is locally unstable. Methods are discussed to increase stability and make this approach suitable for prosthesis control.

show abstract

Section: Introductionmentioning

confidence: 99%

Real-time simulation of hand motion for prosthesis control

Blana

Chadwick

Bogert

et al. 2016

Computer Methods in Biomechanics and Biomedical Engineering

View full text Add to dashboard Cite

show abstract

“…Therefore, if a musculoskeletal model is used for simulation, we might get more robust simulation results for stronger torques to distal joints. In addition, we expect that studies about the human hand will be a good reference for further research about foot structure and movement [SSB*15].…”

Section: Discussionmentioning

confidence: 99%

Multi‐Segment Foot for Human Modelling and Simulation

Park

Lee

2019

Computer Graphics Forum

View full text Add to dashboard Cite

Realistic modelling of a human‐like character is one of the main topics in computer graphics to simulate human motion physically and also look realistically. Of the body parts, a human foot interacts with the ground, and plays an essential role in weight transmission, balancing posture and assisting ambulation. However, in the previous researches, the foot model was often simplified into one or two rigid bodies connected by a revolute joint. We propose a new foot model consisting of multiple segments to reproduce human foot shape and its functionality accurately. Based on the new model, we develop a foot pose controller that can reproduce foot postures that are generally not obtained in motion capture data. We demonstrate the validity of our foot model and the effectiveness of our foot controller with a variety of foot motions in a physics‐based simulation.

show abstract

“…Using muscles for foot modeling can explain many things about foot movement. In addition, we expect that studies about the human hand will be a good reference for further research about foot structure and movement [29].…”

Section: Discussionmentioning

confidence: 99%

Multi-Segment Foot Modeling for Human Animation

Park

Lee

2018

EasyChair Preprints

View full text Add to dashboard Cite

We present a multi-segment foot model and its control method for the simulation of realistic bipedal behaviors. The ground reaction force is the only source of control for a biped that stands and walks on its feet. The foot is the body part that interacts with the ground and produces appropriate actuation to the body. Foot anatomy features 26 bones and many more muscles that play an important role in weight transmission, balancing posture and assisting ambulation. Previously, the foot model was often simplified into one or two rigid bodies connected by a revolute joint. We propose a new foot model consisting of multiple segments to accurately reproduce human foot shape and its functionality. Based on the new model, we developed a foot pose controller that can reproduce foot postures that are generally not obtained in motion capture data. We demonstrate the validity of our foot model and the effectiveness of our foot controller with a variety of foot motions in a physics-based simulation.

show abstract

Biomechanical simulation and control of hands and tendinous systems

Cited by 40 publications

References 56 publications

Real-time simulation of hand motion for prosthesis control

Real-time simulation of hand motion for prosthesis control

Multi‐Segment Foot for Human Modelling and Simulation

Multi-Segment Foot Modeling for Human Animation

Contact Info

Product

Resources

About