scholarly journals Reference chromosome to overcome user fatigue in IEC

2005 ◽  
Vol 23 (2) ◽  
pp. 129-142 ◽  
Author(s):  
Yago Saez ◽  
Pedro Isasi ◽  
Javier Segovia ◽  
Julio C. Hernandez
Keyword(s):  
User Fatigue

An Interactive Visualization of Genetic Algorithm on 2-D Graph

2012 ◽  
Vol 4 (1) ◽  
pp. 34-54 ◽  
Author(s):  
Humera Farooq ◽  
Nordin Zakaria ◽  
Muhammad Tariq Siddique
Keyword(s):  
Genetic Algorithm ◽  
Growth Process ◽  
Search Space ◽  
Human Intervention ◽  
Branching Structures ◽  
Multidimensional Search ◽  
L System ◽  
User Fatigue ◽  
Search Data ◽  
Selection Of

The visualization of search space makes it easy to understand the behavior of the Genetic Algorithm (GA). The authors propose a novel way for representation of multidimensional search space of the GA using 2-D graph. This is carried out based on the gene values of the current generation, and human intervention is only required after several generations. The main contribution of this research is to propose an approach to visualize the GA search data and improve the searching process of the GA with human’s intention in different generations. Besides the selection of best individual or parents for the next generation, interference of human is required to propose a new individual in the search space. Active human intervention leads to a faster searching, resulting in less user fatigue. The experiments were carried out by evolving the parameters to derive the rules for a Parametric L-System. These rules are then used to model the growth process of branching structures in 3-D space. The experiments were conducted to evaluate the ability of the proposed approach to converge to optimized solution as compared to the Simple Genetic Algorithm (SGA).

scholarly journals A P300 brain-computer interface with a reduced visual field

2020 ◽  
Author(s):  
Luiza Kirasirova ◽  
Vladimir Bulanov ◽  
Alexei Ossadtchi ◽  
Alexander Kolsanov ◽  
Vasily Pyatin ◽  
...  
Keyword(s):  
Visual Field ◽  
Visual Processing ◽  
Peripheral Vision ◽  
Brain Computer Interface ◽  
Basic Research ◽  
Computer Interface ◽  
Eye Tracker ◽  
Central Visual Field ◽  
P300 Speller ◽  
User Fatigue

AbstractA P300 brain-computer interface (BCI) is a paradigm, where text characters are decoded from visual evoked potentials (VEPs). In a popular implementation, called P300 speller, a subject looks at a display where characters are flashing and selects one character by attending to it. The selection is recognized by the strongest VEP. The speller performs well when cortical responses to target and non-target stimuli are sufficiently different. Although many strategies have been proposed for improving the spelling, a relatively simple one received insufficient attention in the literature: reduction of the visual field to diminish the contribution from non-target stimuli. Previously, this idea was implemented in a single-stimulus switch that issued an urgent command. To tackle this approach further, we ran a pilot experiment where ten subjects first operated a traditional P300 speller and then wore a binocular aperture that confined their sight to the central visual field. Visual field restriction resulted in a reduction of non-target responses in all subjects. Moreover, in four subjects, target-related VEPs became more distinct. We suggest that this approach could speed up BCI operations and reduce user fatigue. Additionally, instead of wearing an aperture, non-targets could be removed algorithmically or with a hybrid interface that utilizes an eye tracker. We further discuss how a P300 speller could be improved by taking advantage of the different physiological properties of the central and peripheral vision. Finally, we suggest that the proposed experimental approach could be used in basic research on the mechanisms of visual processing.

scholarly journals Concurrent surface electromyography and force myography classification during times of prosthetic socket shift and user fatigue

2017 ◽  
Vol 4 ◽  
pp. 205566831770873 ◽  
Author(s):  
Joe Sanford ◽  
Rita Patterson ◽  
Dan O Popa
Keyword(s):  
Surface Electromyography ◽  
Muscle Activation ◽  
Surface Emg ◽  
Training Data ◽  
Control Input ◽  
Prosthetic Devices ◽  
Prosthetic Socket ◽  
User Fatigue ◽  
Force Myography

Objective Surface electromyography has been a long-standing source of signals for control of powered prosthetic devices. By contrast, force myography is a more recent alternative to surface electromyography that has the potential to enhance reliability and avoid operational challenges of surface electromyography during use. In this paper, we report on experiments conducted to assess improvements in classification of surface electromyography signals through the addition of collocated force myography consisting of piezo-resistive sensors. Methods Force sensors detect intrasocket pressure changes upon muscle activation due to changes in muscle volume during activities of daily living. A heterogeneous sensor configuration with four surface electromyography–force myography pairs was investigated as a control input for a powered upper limb prosthetic. Training of two different multilevel neural perceptron networks was employed during classification and trained on data gathered during experiments simulating socket shift and muscle fatigue. Results Results indicate that intrasocket pressure data used in conjunction with surface EMG data can improve classification of human intent and control of a powered prosthetic device compared to traditional, surface electromyography only systems. Significance Additional sensors lead to significantly better signal classification during times of user fatigue, poor socket fit, as well as radial and ulnar wrist deviation. Results from experimentally obtained training data sets are presented.

Combating user fatigue in iGAs

2005 ◽  
Author(s):  
Xavier Llorà ◽  
Kumara Sastry ◽  
David E. Goldberg ◽  
Abhimanyu Gupta ◽  
Lalitha Lakshmi
Keyword(s):  
User Fatigue

Effect of Control-Display Gain and Mapping and Use of Armrests on Accuracy in Temporally Limited Touchless Gestural Steering Tasks

2017 ◽  
Vol 61 (1) ◽  
pp. 380-384 ◽  
Author(s):  
Sharan Ram ◽  
Anjan Mahadevan ◽  
Hadi Rahmat-Khah ◽  
Guiseppe Turini ◽  
Justin G. Young
Keyword(s):  
Success Rate ◽  
Virtual Environments ◽  
Task Performance ◽  
Transfer Functions ◽  
Movement Direction ◽  
Design Parameters ◽  
Two Dimensional ◽  
Optimal Transfer ◽  
User Fatigue ◽  
Arm Support

Touchless gestural controls are becoming an important natural input technique for interaction with emerging virtual environments but design parameters that improve task performance while at the same time reduce user fatigue require investigation. This experiment aims to understand how control-display (CD) parameters such as gain and mapping as well as the use of armrests affect gesture accuracy in specific movement directions. Twelve participants completed temporally constrained two-dimensional steering tasks using free-hand fingertip gestures in several conditions. Use of an armrest, increased CD gain, and horizontal mapping significantly reduced success rate. The results show that optimal transfer functions for gestures will depend on the movement direction as well as arm support features.

Application of an Eye Tracker Over Facility Layout Problem to Minimize User Fatigue

2017 ◽  
pp. 145-156 ◽  
Author(s):  
Juan García-Saravia ◽  
Lorenzo Salas-Morera ◽  
Laura García-Hernández ◽  
Adoración Antolí Cabrera
Keyword(s):  
Facility Layout ◽  
Eye Tracker ◽  
Layout Problem ◽  
Facility Layout Problem ◽  
User Fatigue
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