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High quality haptic interaction with a soft body for remote collaboration

High quality haptic interaction with a soft body for remote collaboration
与软体进行高质量触觉交互,实现远程协作
批准号:
24700117
负责人:
KURODA Yoshihiro
金额:
$2.75万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Young Scientists (B)
财政年份:
2012
资助国家:
日本
项目状态:
已结题
起止时间:
2012-04-01 至 2014-03-31

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中文摘要
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英文摘要
In medicine, safe and efficient training environment is required. This study aimed at the establishment of remote collaborative environment with high quality haptic interaction, and achieved the technologies to compensate transfer and computation delays at the situation of haptic interaction with a soft body. Real-time calculation method for geometrically non-linear deformation has been developed. The method allows us to interact with an object which has more than 200 nodes at video rate, 30Hz. The conventional method was difficult to perform large deformation with force feedback. Both biomedical signal processing and machine learning allowed movement estimation in prior to the actual motion with surface EMG signals. This project established the fundamental technologies of remote collaborative environment with a soft body by developing the methods to compensate delays induced by high calculation and data transfer in a soft body manipulation.
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会议论文
AR 手術ナビゲーションとハプティクス技術の融合と展開
AR手术导航与触觉技术的融合与发展
DOI: --
发表时间: 2013
期刊:
影响因子: --
作者: [Rieko Inaba, Nadia Bouz-Asal, David Kinny, Toru Ishida, 黒田嘉宏]
通讯作者: 黒田嘉宏
Novel Algorithm for Real-Time Onset Detection of Surface Electromyography in Step-Tracking Wrist Movements
步进跟踪手腕运动中表面肌电图实时起始检测的新算法
DOI: --
发表时间: 2013
期刊:
影响因子: --
作者: [Y.Kuroda, I.Nisky, Y.Uranishi, M.Imura, A.Okamura and O.Oshiro]
通讯作者: A.Okamura and O.Oshiro
Adaptive Method for Robust Onset Detection in Surface-Electromyography Signals
表面肌电信号中鲁棒起始检测的自适应方法
DOI: --
发表时间: 2014
期刊:
影响因子: --
作者: [Kaoru Sugita, Masao Yokota, 有田千紘,山本豪志朗,浦西友樹,武富貴史,宮崎純,加藤博一, C. Sichting,Y. Kuroda,K. Kiyokawa,H. Takemura]
通讯作者: C. Sichting,Y. Kuroda,K. Kiyokawa,H. Takemura
AR手術ナビゲーションとハプティクス技術の融合と展開
AR手术导航与触觉技术的融合与发展
DOI: --
发表时间: 2013
期刊:
影响因子: --
作者: [Nadia Bouz-Asal, Rieko Inaba, Toru Ishida, 黒田嘉宏]
通讯作者: 黒田嘉宏
13
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