Titlebook: Intelligent Human Computer Interaction; 10th International C Uma Shanker Tiwary Conference proceedings 2018 Springer Nature Switzerland AG

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书目名称Intelligent Human Computer Interaction影响因子(影响力)




书目名称Intelligent Human Computer Interaction影响因子(影响力)学科排名




书目名称Intelligent Human Computer Interaction网络公开度




书目名称Intelligent Human Computer Interaction网络公开度学科排名




书目名称Intelligent Human Computer Interaction被引频次




书目名称Intelligent Human Computer Interaction被引频次学科排名




书目名称Intelligent Human Computer Interaction年度引用




书目名称Intelligent Human Computer Interaction年度引用学科排名




书目名称Intelligent Human Computer Interaction读者反馈




书目名称Intelligent Human Computer Interaction读者反馈学科排名

仲裁者

An Orthonormalized Partial Least Squares Based Spatial Filter for SSVEP Extractiontential (SSVEP) components buried in the electroencephalogram (EEG) data. The proposed method avoids over-fitting of the EEG data to the ideal SSVEP reference signals by reducing the over-emphasis of the target (pure sine-cosine) space. The paper presents the comparison of the detection accuracy of

反抗者

A Common Spatial Pattern Approach for Classification of Mental Counting and Motor Execution EEGdifferent BCIs, the focus of this paper is on Electroencephalography (EEG) as a means of human computer interaction. Motor imagery and mental arithmetic are the most popular techniques used to modulate brain waves that can be used to control devices. We show that it is possible to define different m

MAIM

放牧

Analysis of Action Oriented Effects on Perceptual Process of Object Recognition Using Physiological possibilities in an image as perceiving any one’s action stimulates human motor system. However very limited studies have been done to analyze the effect of object affordance during action perception and execution. To study the effect of object affordance on human perception, in this paper we have

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品尝你的人

EEG Signals for Measuring Cognitive Development of biomedical informatics and neuroscience. This paper highlights the importance of EEG signals in cognitive development experimentation and the challenges faced in conducting an EEG experiment and its intelligent analysis. Solutions to these challenges have been elaborated upon as well. Finally, t

改正

EEG-Based Detection of Brisk Walking Motor Imagery Using Feature Transformation Techniqueslity reduction are crucial signal processing blocks that determine the performance of a BCI system. In this work, various features, that are, band power (BP) features, autoregressive (AAR) parameters and Hjorth (HJ) parameters, widely used in BCI research are studied for their efficacy in discrimina

adroit

Cumulative Impulse Strength Based Epoch Extraction from Singing Voicetant of glottal closure, it is also termed as glottal closure instant (GCI). In this paper, the concept of cumulative impulse strength is utilized for the extraction of epochs from singing voice and its performance has been compared with some established methods for epoch extraction from speech sign

轻率的你

Chaos Analysis of Speech Imagery of IPA Vowels or monosyllabic words. However, language specific vowels or words made it harder to standardise the whole analysis of electroencephalography (EEG) while distinguishing between them. Through this study, we have explored significance of chaos parameters for different imagined vowels chosen from Inter