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Human fine motion analysis using biological signals
https://doi.org/10.24517/00007937
https://doi.org/10.24517/00007937e84795b4-5521-4318-93eb-63b69373cd30
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TE-PR-AKITA-J-509.pdf (473.2 kB)
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| Item type | 会議発表論文 / Conference Paper(1) | |||||||
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| 公開日 | 2017-10-03 | |||||||
| タイトル | ||||||||
| タイトル | Human fine motion analysis using biological signals | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||
| 資源タイプ | conference paper | |||||||
| ID登録 | ||||||||
| ID登録 | 10.24517/00007937 | |||||||
| ID登録タイプ | JaLC | |||||||
| 著者 |
Iemoto, Masashi
× Iemoto, Masashi× Toda, Masashi× Sakurazawa, Shigeru× Akita, Junichi× Kondo, Kazuaki× Nakamura, Yuichi |
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| 著者別表示 |
秋田, 純一
× 秋田, 純一
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| 提供者所属 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | 金沢大学融合研究域融合科学系 / 金沢大学理工研究域電子情報学系 | |||||||
| 書誌情報 |
Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 号 5590977, p. 509-512, 発行日 2010-01-01 |
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| DOI | ||||||||
| 関連タイプ | isIdenticalTo | |||||||
| 識別子タイプ | DOI | |||||||
| 関連識別子 | 10.1109/ICIS.2010.143 | |||||||
| 出版者 | ||||||||
| 出版者 | IEEE = Institute of Electrical and Electronics Engineers | |||||||
| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | In the field of the interface research, confusion had been discussed since before. However, the research that focused on link of interface and confusion motion is very little. In contrast, in the field of the cognitive research, a lot of study about confusion is researching as a popular theme since before. These studies use video camera or motion capture system as a method to observation and analysis of confusion [1]. Consequently, in the study, we acquire and analyze confusion seen from aspect of the field of cognitive research, and we have aimed to create some application at the interface. In this regard, in the field of the cognitive research use very largescale system for observe to confusion motion. So, it is difficult to application to interface. For the reason, we experiment on surface Electromyogram. Surface Electromyogram (EMG) is researched new interface and can observe change in muscle force or fine motion for observe of confusion motion. In the result, we were able to confirm some tendency of the EMG in people puzzled. © 2010 IEEE. | |||||||
| 著者版フラグ | ||||||||
| 出版タイプ | VoR | |||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||
