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CARS 2020—Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition, Munich, Germany, June 23–27, 2020

2020 International Journal of Computer Assisted Radiology and Surgery  
With an increasing general demand and pressure on CARS to also go fully digital in the long term, many members of the CARS Congress Organizing Committee, however, are more cautious and convinced that one  ...  Aiming to stimulate complimentary thoughts and actions on what is being presented at CARS, implies a number of enabling variables for optimal analogue scholarly communication, such as (examples given are  ...  Besides, use of gloves is low, so doses of hands are still high. Therefore, a master-slave robotic system for VI is necessary for minimization of the radiation exposure.  ... 
doi:10.1007/s11548-020-02171-6 pmid:32514840 fatcat:lyhdb2zfpjcqbf4mmbunddwroq


2022 2022 International Conference on Decision Aid Sciences and Applications (DASA)  
A maximum of 92.90% classification accuracy is obtained using the features of IMF-4 with 10-fold cross-validation. The results conclude that the proposed method can detect AD patients efficiently.  ...  The selected features from EEG recordings of 23 subjects (AD-12 and NC-11) are used to train and test the Leastsquare support vector machine (LS-SVM) classifier with three different kernel functions.  ...  with the highest accurate technique.  ... 
doi:10.1109/dasa54658.2022.9765271 fatcat:ttqppf4j3navnaxe653mrzmezi

Moves made easy : deep learning-based reduction of human motor control efforts leveraging categorical perceptual constraint

Pramit Saha
considerably reduced effort using mouse and data glove-based input devices.  ...  Our motor control mapping network consists of a graph convolutional neural network (GCNN) combined with LSTM encoder-decoder network, that is regularized with the help of the trained perception model.  ...  The task begins with mouse-based data acquisition (first day), followed by Glove 2D (second day) and ends with Glove 1D+1D (third day) based data collection.  ... 
doi:10.14288/1.0396540 fatcat:jj4xqiaebrhdfdqiisocxayc2e

Towards accurate multi-person pose estimation in the wild [article]

Insafutdinov Eldar, Universität Des Saarlandes
Human pose estimation is a task of localising major joints of a human skeleton in natural images and is one of the most important visual recognition tasks in the scenes containing humans with numerous  ...  Multi-person parsing is performed by optimizing a joint objective based on a multicut graph partitioning framework.  ...  For hand tracking, a color glove and one camera (Wang and Popović, 2009 ) is highly practical. Inertial measurement units (IMUs) fitted to a suit (e.g.  ... 
doi:10.22028/d291-33512 fatcat:ioyobbty6rh7pifk5u5muj7msm