On the use of forward kinematic models in visually guided hand position control—analysis based on ISLES model

Oyama, Eimei; Maeda, Takao; Tachi, Susumu; MacDorman, Karl F.; Agah, Arvin

doi:10.1016/s0925-2312(02)00498-8

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Forward Kinematics1

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Cited by 4 publications

(2 citation statements)

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“…A simple feed forward network has been used by (Yee and Lim 1997) and an accuracy of 0.017 0 and 0.017mm, in predicting end effector pose, has been achieved. NN tuned FK model has also been used by (Oyama et al 2002) in visually guided hand position control. A comparison of NN with various numerical methods to solve FK has been provided by (Sadjadian and Taghirad 2005).…”

Section: Forward Kinematicsmentioning

confidence: 99%

Multi-Criteria Optimal Design of Cable Driven Ankle Rehabilitation Robot

Jamwal¹,

Xie²,

Aw³

et al. 2009

Mobile Robots - State of the Art in Land, Sea, Air, and Collaborative Missions

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Section: Forward Kinematicsmentioning

confidence: 99%

Multi-Criteria Optimal Design of Cable Driven Ankle Rehabilitation Robot

Jamwal¹,

Xie²,

Aw³

et al. 2009

Mobile Robots - State of the Art in Land, Sea, Air, and Collaborative Missions

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“…4. (Oyama, et al, 2002) (Prablanc, et al, 1979) (Nakamura, et al, 2014) 4·1 HMD VR ( ) ( 6) HMD ( ) Fig. 7 Conceputual image of ideal point calculation after a tracing task Fig.…”

mentioning

confidence: 99%

Effect of the update of position sense using AR-limb on the motion trajectory

Yoda

Nakamura

Konno

et al. 2015

Transactions of the JSME (In Japanese)

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The position sense of a human body is a basis for performing various body motions, especially high-speed. Therefore, the mismatch of the position sense generates the lack of performance , for example , in case of immersive interfaces so called Telepresence and sports motion . In response the authors have been researching on the method using AR-Limb which aims to adjust or control the human position sense. However, the current research only discussed the update through static measurement and the measurement through dynamic motions was out of scope. Therefore, this paper introduced the method to measure the state of position sense during the actual motion, and evaluated the effect of update of position sense on the body motion. As an experimental result, it was verified that the body motion was completely effected by the update of position sense.

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