Suffering from dirty strong supersonic attacks (39ﾚｽ)
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30: YAMAGUTIseisei 2019/04/24(水)10:34 ID:5ZbN1Z79Q(29/32) BE AAS
This is the first study on SSVEP magnitude prediction toward a novel SSVEP-BCI.
We created datasets from experiments on varying SSVEP magnitude responses.
The Random Forest Regression was then proposed as the algorithm for instantaneous SSVEP magnitude prediction.
The experimental results were obtained from ten subjects using leave-one-subject-out cross validation seem promising.
The instantaneous changes in predicted SSVEP magnitude can be mapped into the speed controller for brain-controlled applications (e.g. robot control).
Here, an online-like system was conducted using a simulated mobile robot.
The experiments involved streaming back the real SSVEP responses of varying magnitudes to control the moving speed of the robot.
For practical purposes, a single (Oz) EEG channel was used through all the experiments.
The advantage of the SSVEP magnitude prediction is that it has an ability to maintain stability when controlling the robotic.
In the near future, the outcomes from this work will be implemented in other smooth brain-controlled applications such as accelerating or decelerating the speed of a mobile robot or a robotic arm.
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31: YAMAGUTIseisei 2019/04/24(水)10:34 ID:5ZbN1Z79Q(30/32) BE AAS
REFERENCES
[1]
J. R. Wolpaw, N. Birbaumer, D. J. McFarland, G. Pfurtscheller, and T. M. Vaughan,
`` Braincomputer interfaces for communication and control, ''
Clinical neurophysiology, vol. 113, no. 6, pp. 767791, 2002.
[2]
B. Allison, T. Luth, D. Valbuena, A. Teymourian, I. Volosyak, and A. Graser,
`` Bci demographics: How many (and what kinds of) people can use an ssvep bci? ''
IEEE transactions on neural systems and rehabilitation engineering, vol. 18, no. 2, pp. 107116, 2010.
[3]
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[8]
E. Yin, Z. Zhou, J. Jiang, F. Chen, Y. Liu, and D. Hu,
`` A novel hybrid bci speller based on the incorporation of ssvep into the p300 paradigm, ''
Journal of neural engineering, vol. 10, no. 2, p. 026012, 2013.
[9]
E. Yin, Z. Zhou, J. JIang, F. Chen, Y. Liu, and D. Hu,
`` A speedy hybrid bci spelling approach combining p300 and ssvep, ''
IEEE Transactions on Biomedical Engineering, vol. 61, no. 2, pp. 473483, 2014.
[10]
Y. Wang, X. Chen, X. Gao, and S. Gao,
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33: YAMAGUTIseisei 2019/04/24(水)10:36 ID:5ZbN1Z79Q(32/32) BE AAS
[15]
K. Cho, B. Van Merri boer, C. Gulcehre, D. Bahdanau, F. Bougares, H. Schwenk, and Y. Bengio,
`` Learning phrase representations using rnn encoder-decoder for statistical machine translation, ''
arXiv preprint arXiv:1406.1078, 2014.
[16]
F. Chollet et al., `` Keras, ''
外部ﾘﾝｸ:github.com
, 2015.
[17]
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay,
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34: YAMAGUTIseisei 2019/04/27(土)07:57 ID:Ay/E8QVQT(1) BE AAS
>>8
To develop a novel SSVEP-BCI paradigm for a brain-machine control system which allows users to continuously increase/decrease the moving speed of the application , this study hypothesizes that magnitude variation would help attain the goal.
To develop a novel SSVEP-BCI paradigm for a system which allows users to continuously increase/decrease the moving speed of the application (i.e. speed robot movements), this study hypothesizes that magnitude variation would help attain the goal.
application (i.e. speed robot movements)
外部ﾘﾝｸ:miraitranslate.com
ユーザがアプリケーション(速度ロボットの動作)の移動速度を連続的に増加/減少させることを可能にする脳機械制御システムのための新しいSSVEP‐BCIパラダイムを開発するために,本研究では規模変動が目標の達成を助けるであろうと仮定した。
35: YAMAGUTIseisei 2019/07/12(金)20:46 ID:f5bVsPQ5K(1/3) AAS
外部ﾘﾝｸ:www.jstage.jst.go.jp
Page 1
Organ Variation 3D Model Library for Surgery Simulators
a) M. Komori, b) K. Tagawa, b) H. Tanaka, a) Y. Kurumi, a) S. Morikawa
Abstract
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36: YAMAGUTIseisei 2019/07/12(金)20:47 ID:f5bVsPQ5K(2/3) AAS
II.
CURRENT STATUS
Cystic ducts (9 types), aortic arches (4 types) and renal veins (4 types) with variation were modeled in OBJ format.
Fig.2 shows examples from those cystic duct models.
The cystic duct models were merged to a surgery simulation scene using multi-resolution modeling approach and a synchronization approach for maintaining consistency of binary trees [3].
In this project, many studies have to be done, eg clinical verification of those models, optimization for faster performance of the surgical simulator with more complex organ structure and so on.
As a future work, this theme will be reported.
ACKNOWLEDGMENT
Research supported by SCOPE fund and JSPS KAKENHI Grant Number25282154.
a) Shiga University of Medical Science, Otsu, Shiga 6062192 Japan (corresponding 1st author to provide phone: +81-77-548-2641; fax: +81-77-548-2412; e-mail: kom@belle.shiga-med.ac.jp).
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37: YAMAGUTIseisei 2019/07/12(金)20:48 ID:f5bVsPQ5K(3/3) AAS
REFERENCES
[1]
V. Sherman, LS Feldman, D. Stanbridge, R. Kazmi, GM Fried,
“Assessing the learning curve for the acquisition of laparoscopic skills on a virtual reality simulator”
, Surg Endosc, 19: 678?682, 2005
[2]
FH Netter,
“Atlas of Human Anatomy (Book style with paper title and editor),”
in Plastics , 2nd ed. vol. 3, J. Peters, Ed. New York: McGraw-Hill, 1964, pp. 15–64.
[3]
省4
38: [m9(^Д^)] 2020/08/14(金)16:29 AAS
統合失調症
39: 2023/10/22(日)20:49 ID:HKomAKF4A(1) AAS
人を殺すと地獄に堕ちるとかお子ちゃまみたいなこと言ってるオトナには唖然とするよな
騒音に温室効果カ゛スにコロナにとまき散らさせて、気侯変動させて海水温上昇させてかつてない量の水蒸氣を発生させて、
土砂崩れに洪水、暴風．猛暑、大雪にと災害連発させて地球破壊して、静音が生命線の知的産業に威力業務妨害して根絶やしにして、
医療崩壊させて助かる命まで奪い取って多くの無辜の住民の生命と財産を破壊して私腹を肥やしてる斎藤鉄夫ら世界最悪の殺人テロ組織
国土破壊省だのJΑLた゛の機長殴って駆け付けた警官まで殴打して現行犯逮捕の酒気帯び運転ANAだのクソアヰヌドゥだの酒飲んで業務
してるクサイマ―クた゛のゴキブリフライヤーだのテロリストを皆殺しにしたら、人のみならず多くの生命が救われるんだから、どんな理屈を
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天国行き確定だし，少しは物事を論理的に理解できる人としての最低限の能カくらい身に着けよう!
(羽田)外部ﾘﾝｸ[Php]:www.call4.jpΡe=itｅms&id＝I００00062 , ttР外部ﾘﾝｸ:haneda-project.jimdofree.Com
(成田］ttps：//n-souonhigaisosyoudan.amеbaownd.сom/
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