【19:38】Suffering from dirty strong supersonic attacks
- 1 名前：supersonic attacked ：2017/11/29(水) 01:34:15.97 ID:Yul9QZKXc
- I'm suffering from dirty strong supersonic attacks!! Supersonic terrorisms!!
The supersonic attacker is also in Yamaguchi city.
- 29 名前：YAMAGUTIseisei ：2019/04/24(水) 10:33:24.70 ID:5ZbN1Z79Q ?2BP(3)
- As the research findings on the predictive model for SSVEP magnitude variation indicate, the predictive SSVEP magnitude paradigm can now be integrated into the frequency recognition paradigm to achieve a novel online SSVEP-BCI.
Taking into consideration both the frequency and magnitude of the steady brain responses, a continuous SSVEP-BCI can be provided, allowing the users to smoothly control devices (e.g. a mobile robot).
Furthermore, we are planning to integrate the proposed SSVEP-BCI to handle robotic arms in an online mode using sparse EEG channels.
The continuous increase or decrease of the predicted signal from the predictive SSVEP magnitude can be mapped into command functions, for instance, by accelerating or decelerating the velocity of the robotic arm.
To improve performance of the proposed SSVEP-BCI, a robustness to noises for the continuous magnitude prediction is an important.
To overcome this issue, one approach is a simple adaptive algorithm which measures magnitude information from not only target SSVEP frequency, but also from the neighbor frequencies.
Using relative values instead of an absolute value from target frequency, we hypothesize that the predictive model possibly classifies weather magnitude variation is an effect from noises or actual varying in SSVEP response.
Another approach, we are going to apply distributed recurrent neural forward model which behaves as a temporal memory module to maintain continuous information as closed as uncorrupted SSVEP responses .
Hence, the contribution of this work can act as a gateway to future BCI-based control.
- 30 名前：YAMAGUTIseisei ：2019/04/24(水) 10:34:03.46 ID:5ZbN1Z79Q ?2BP(3)
- 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.
- 31 名前：YAMAGUTIseisei ：2019/04/24(水) 10:34:32.47 ID:5ZbN1Z79Q ?2BP(3)
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.
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.
Z. Lin, C. Zhang, W. Wu, and X. Gao,
`` Frequency recognition based on canonical correlation analysis for ssvep-based bcis, ''
IEEE transactions on biomedical engineering, vol. 54, no. 6, pp. 11721176, 2007.
G. R. Muller-Putz and G. Pfurtscheller,
- 32 名前：YAMAGUTIseisei ：2019/04/24(水) 10:34:59.51 ID:5ZbN1Z79Q ?2BP(3)
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.
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.
Y. Wang, X. Chen, X. Gao, and S. Gao,
`` A benchmark dataset for SSVEP-based brain-computer interfaces, ''
IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25, no. 10, pp. 17461752, Oct 2017.
B. Allison, B. Graimann, and G. Pfurtscheller,
Brain-computer Interfaces: Revolutionizing Human-computer Interaction.
- 33 名前：YAMAGUTIseisei ：2019/04/24(水) 10:36:24.64 ID:5ZbN1Z79Q ?2BP(3)
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.
F. Chollet et al., `` Keras, ''
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,
`` Scikit-learn: Machine learning in Python, ''
Journal of Machine Learning Research, vol. 12, pp. 28252830, 2011.
M. F. E. Rohmer, S. P. N. Singh,
`` V-rep: a versatile and scalable robot simulation framework, ''
in Proc. of The International Conference on Intelligent Robots and Systems (IROS), 2013.
- 34 名前：YAMAGUTIseisei ：2019/04/27(土) 07:57:25.89 ID:Ay/E8QVQT ?2BP(3)
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)
- 35 名前：YAMAGUTIseisei ：2019/07/12(金) 20:46:27.81 ID:f5bVsPQ5K
Organ Variation 3D Model Library for Surgery Simulators
a) M. Komori, b) K. Tagawa, b) H. Tanaka, a) Y. Kurumi, a) S. Morikawa
― In actual surgery, various types of variations of organ or duct often appear.
To simulate an operation of such atypical cases on a VR surgery simulator, a 3D model library of variation has been developed.
Schema of variation types were collected from case reports and textbook and 3D models of those organ or duct were built.
- 36 名前：YAMAGUTIseisei ：2019/07/12(金) 20:47:05.39 ID:f5bVsPQ5K
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 .
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.
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: email@example.com).
b) Ritsumeikan University, Kusatsu, Shiga 5258577 Japan.
- 37 名前：YAMAGUTIseisei ：2019/07/12(金) 20:48:44.31 ID:f5bVsPQ5K
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
“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.
K. Tagawa, H. Tanaka, K. Yoshimasa, M. Komori, and S. Morikawa,
“Expression of cystohepatic duct anomaly using modular structured organ model in a laparoscopic surgery simulator”
, Int J CARS, 7 (Suppl 1), S194-S196, 2012.
- 38 名前：オーバーテクナナシー ：2020/08/14(金) 16:29:20.09
- スマホ用 全部読む 最新50 1-100 板のトップ リロード