Reliable emotion recognition system based on dynamic adaptive fusion of forehead biopotentials and physiological signals
M Khezri, M Firoozabadi, AR Sharafat - Computer methods and programs …, 2015 - Elsevier
In this study, we proposed a new adaptive method for fusing multiple emotional modalities to
improve the performance of the emotion recognition system. Three-channel forehead …
improve the performance of the emotion recognition system. Three-channel forehead …
EMG-based facial gesture recognition through versatile elliptic basis function neural network
Background Recently, the recognition of different facial gestures using facial neuromuscular
activities has been proposed for human machine interfacing applications. Facial …
activities has been proposed for human machine interfacing applications. Facial …
A novel human–machine interface based on recognition of multi-channel facial bioelectric signals
I Mohammad Rezazadeh, SM Firoozabadi… - Australasian physical & …, 2011 - Springer
This paper presents a novel human–machine interface for disabled people to interact with
assistive systems for a better quality of life. It is based on multi-channel forehead bioelectric …
assistive systems for a better quality of life. It is based on multi-channel forehead bioelectric …
Robust facial expression recognition for MuCI: a comprehensive neuromuscular signal analysis
This paper presents a comprehensive study on the analysis of neuromuscular signal
activities to recognize 11 facial expressions for muscle computer interfacing applications. A …
activities to recognize 11 facial expressions for muscle computer interfacing applications. A …
Facial neuromuscular signal classification by means of least square support vector machine for MuCI
M Hamedi, SH Salleh, AM Noor - Applied Soft Computing, 2015 - Elsevier
Facial neuromuscular signal has recently drawn the researchers' attention to its outstanding
potential as an efficient medium for Muscle Computer Interface (MuCI) applications. The …
potential as an efficient medium for Muscle Computer Interface (MuCI) applications. The …
Evaluating the usability of virtual environment by employing affective measures
IM Rezazadeh, M Firoozabadi, X Wang - Mixed Reality and Human-Robot …, 2011 - Springer
In this chapter a new approach based on exploring affective status and cues for evaluating
the performance and designing quality of virtual environments have been proposed. Five …
the performance and designing quality of virtual environments have been proposed. Five …
Multiclass least-square support vector machine for myoelectric-based facial gesture recognition
Facial gesture recognition (FGR) is considered as a state-of-the-art which has drawn the
researchers' attention in numerous fields of study due to its high potential in different …
researchers' attention in numerous fields of study due to its high potential in different …
Investigating the effect of different reinforcement training scenarios in neurofeedback applications using forehead bioelectric signals
M Tajziehchi, IM Rezazadeh - 2011 1st Middle East …, 2011 - ieeexplore.ieee.org
In this study, we conducted experiments in order to explore the effect of different types of
reinforcement training scenarios in neurofeedback applications on users' performance. Ten …
reinforcement training scenarios in neurofeedback applications on users' performance. Ten …