書誌事項
- タイトル別名
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- 2A1-O08 Modeling and Identification of the Human Neuromusculoskeletal Model's Somatic Reflex Network
抄録
In this paper, we build a mathematical model of the whole-body neuromuscular network and identify its parameters by optical motion capture, inverse dynamics computation, and statistical analysis. The model includes a skeleton, a musculo-tendon network, and a neuromuscular network. We model the relationship between the spinal nerve and muscle tension by a neural network. The resulting parameters match well with the agonist-antagonist relationship of the muscles. We also demonstrate that we can simulate the patellar tendon reflex using the neuromuscular model. This is the first attempt to build and identify the neuromuscular network based only on non-invasive motion measurements, and the result implies that the activation commands from the motor neurons can be considerably simple compared with the number of muscles to be controlled.
収録刊行物
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- ロボティクス・メカトロニクス講演会講演概要集
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ロボティクス・メカトロニクス講演会講演概要集 2007 (0), _2A1-O08_1-_2A1-O08_4, 2007
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390282680910905088
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- NII論文ID
- 110008695488
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- ISSN
- 24243124
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可