Abstract
We have confirmed from human arm movement measurement on the sagittal plane that the highest position in the vertical direction where the hand passes through changes according to the motion duration. In this paper, we propose an estimation algorithm of the position where the hand passes through according to the variation in the motion duration. We add the algorithm into the hardware of the trajectory formation model, i.e., the forward inverse relaxation model, which is the trajectory formation model based on the minimum commanded torque change criterion. Finally, we show that the model can reproduce the same trajectories as the human trajectories at various motion durations on the sagittal plane.
| Original language | English |
|---|---|
| Pages (from-to) | 1589-1594 |
| Number of pages | 6 |
| Journal | Neurocomputing |
| Volume | 38-40 |
| DOIs | |
| Publication status | Published - 2001 Jun |
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Keywords
- Duration
- Sagittal plane
- Trajectory formation
ASJC Scopus subject areas
- Artificial Intelligence
- Cellular and Molecular Neuroscience
Cite this
A computational trajectory formation model for the human sagittal plane movement at various motion durations. / Wada, Yasuhiro; Aiba, Takeyuki; Fukuzawa, Kazuyoshi.
In: Neurocomputing, Vol. 38-40, 06.2001, p. 1589-1594.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A computational trajectory formation model for the human sagittal plane movement at various motion durations
AU - Wada, Yasuhiro
AU - Aiba, Takeyuki
AU - Fukuzawa, Kazuyoshi
PY - 2001/6
Y1 - 2001/6
N2 - We have confirmed from human arm movement measurement on the sagittal plane that the highest position in the vertical direction where the hand passes through changes according to the motion duration. In this paper, we propose an estimation algorithm of the position where the hand passes through according to the variation in the motion duration. We add the algorithm into the hardware of the trajectory formation model, i.e., the forward inverse relaxation model, which is the trajectory formation model based on the minimum commanded torque change criterion. Finally, we show that the model can reproduce the same trajectories as the human trajectories at various motion durations on the sagittal plane.
AB - We have confirmed from human arm movement measurement on the sagittal plane that the highest position in the vertical direction where the hand passes through changes according to the motion duration. In this paper, we propose an estimation algorithm of the position where the hand passes through according to the variation in the motion duration. We add the algorithm into the hardware of the trajectory formation model, i.e., the forward inverse relaxation model, which is the trajectory formation model based on the minimum commanded torque change criterion. Finally, we show that the model can reproduce the same trajectories as the human trajectories at various motion durations on the sagittal plane.
KW - Duration
KW - Sagittal plane
KW - Trajectory formation
UR - http://www.scopus.com/inward/record.url?scp=0035383942&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0035383942&partnerID=8YFLogxK
U2 - 10.1016/S0925-2312(01)00565-3
DO - 10.1016/S0925-2312(01)00565-3
M3 - Article
VL - 38-40
SP - 1589
EP - 1594
JO - Neurocomputing
JF - Neurocomputing
SN - 0925-2312
ER -