Titlebook: Intelligent Human Computer Interaction; 8th International Co Anupam Basu,Sukhendu Das,Samit Bhattacharya Conference proceedings 2017 Spring

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過份

Sreeja S.R.,Vaidic Joshi,Shabnam Samima,Anushri Saha,Joytirmoy Rabha,Baljeet Singh Cheema,Debasis Sa

Accommodation

Abhishek Mahata,Nandini Saini,Sneha Saharawat,Ritu Tiwari

不舒服

WAX

Resign

玷污

BCI Augmented Text Entry Mechanism for People with Special Needsn of feature set to make the interface work efficiently. The results of five able-bodied users show that the error rate per minute is significantly reduced and it also illustrates that it can be further used to develop better BCI augmented HCI systems.

MUTE

A Comparative Study of Classifier Performance on Spatial and Temporal Features of Handwritten Behaviinatory information in deception detection. In this work, a set of total twelve features (spatial and temporal with pressure measures) features were used from online handwritten data. Five different classifiers (Na?ve Bayes, Logistic Regression, Multi-Layer Perceptron, Random Forest and Support Vect

FIS

Estimation of Mental Fatigue During EEG Based Motor Imagery these EEG oscillatory rhythm fluctuations to model EEG-fatigue relationships. A statistical classifier is used to model EEG-fatigue relationship accurately. With Kernel Partial Least Square output we track the growth of mental fatigue with time.