Abstract
The paper deals with modeling of human-like reaching movements using probabilistic models. The main issue under study is the generation of asymmetric velocity profiles with features compatible with previously obtained experimental data. For this purpose a popular minimum variance model is exploited and analyzed. A reformulated version of this model that does not feature a post-movement time specification is proposed and tested under simulation. It is shown that under proper selection of weight coefficients human-like motion profiles can be generated in the reformulated version of the minimum variance model.
| Original language | English |
|---|---|
| Title of host publication | TENCON 2010 - 2010 IEEE Region 10 Conference |
| Pages | 933-938 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - Dec 1 2010 |
| Event | 2010 IEEE Region 10 Conference, TENCON 2010 - Fukuoka, Japan Duration: Nov 21 2010 → Nov 24 2010 |
Publication series
| Name | IEEE Region 10 Annual International Conference, Proceedings/TENCON |
|---|
Other
| Other | 2010 IEEE Region 10 Conference, TENCON 2010 |
|---|---|
| Country | Japan |
| City | Fukuoka |
| Period | 11/21/10 → 11/24/10 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Computer Science Applications
Cite this
On the motion planning of human-like reaching movements by a minimum variance model. / Svinin, Mikhail Mikhailovich; Yamamoto, Motoji.
TENCON 2010 - 2010 IEEE Region 10 Conference. 2010. p. 933-938 5686544 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - On the motion planning of human-like reaching movements by a minimum variance model
AU - Svinin, Mikhail Mikhailovich
AU - Yamamoto, Motoji
PY - 2010/12/1
Y1 - 2010/12/1
N2 - The paper deals with modeling of human-like reaching movements using probabilistic models. The main issue under study is the generation of asymmetric velocity profiles with features compatible with previously obtained experimental data. For this purpose a popular minimum variance model is exploited and analyzed. A reformulated version of this model that does not feature a post-movement time specification is proposed and tested under simulation. It is shown that under proper selection of weight coefficients human-like motion profiles can be generated in the reformulated version of the minimum variance model.
AB - The paper deals with modeling of human-like reaching movements using probabilistic models. The main issue under study is the generation of asymmetric velocity profiles with features compatible with previously obtained experimental data. For this purpose a popular minimum variance model is exploited and analyzed. A reformulated version of this model that does not feature a post-movement time specification is proposed and tested under simulation. It is shown that under proper selection of weight coefficients human-like motion profiles can be generated in the reformulated version of the minimum variance model.
UR - http://www.scopus.com/inward/record.url?scp=79951640043&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79951640043&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2010.5686544
DO - 10.1109/TENCON.2010.5686544
M3 - Conference contribution
AN - SCOPUS:79951640043
SN - 9781424468904
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
SP - 933
EP - 938
BT - TENCON 2010 - 2010 IEEE Region 10 Conference
ER -