Sudhakar Mishra

• Doctor of Philosophy
• Postdoctoral Fellow at Indian Institute of Technology Kanpur

Emotion space models are frameworks that represent emotions in a multidimensional space, providing a structured way to understand and analyze the complex landscape of human emotions. However, the dimensional representation of emotions is still debatable. In this work, we are probing the higher dimensional space constituted by emotion labeling done...

Experience and expression of Emotions have cultural influences. In behavioural experiments, Western and Eastern cultures are shown to have differences in emotional experience and expression. Western culture promotes the expression of emotional experience, whereas, in Eastern culture, emotional expressions are not very explicit and are sometimes res...

In this paper, we worked on the fusion of multiple brain regions in order to combine information from different brain regions. The idea is that considering the dynamic processing of emotional video stimulus will involve different brain regions, and hence, fusion of information from these brain regions can increase emotion recognition accuracy signi...

Several studies have suggested that low-frequency brain oscillations could be key to understanding how the brain samples sensory information via rhythmic alternation of low and high excitability periods. However, this hypothesis has recently been called into question following the publication of some null findings. As part of the #EEGManyLabs initi...

We describe the creation of an affective film dataset for researchers interested in studying a spectrum of emotional experiences. We followed a two stage process. In the first stage, two hundred twenty-two audio-visual clips with 60-s long duration were rated in the lab by 407 participants. Based on the selection criteria, 69 audio-visual clips wer...

Emotion recognition using EEG signals is an emerging area of research due to its broad applicability in Brain-Computer Interfaces. Emotional feelings are hard to stimulate in the lab. Emotions don’t last long, yet they need enough context to be perceived and felt. However, most EEG-related emotion databases either suffer from emotionally irrelevant...

We describe the creation of an affective film dataset for researchers interested in studying a spectrum of emotional experiences. We followed a two stage process. In the first stage, two hundred twenty-two video clips with 60-seconds long duration were rated in the lab by 407 participants. Based on the selection criteria, 69 audio-visual clips were...

Emotion recognition using EEG signals is an emerging area of research due to its broad applicability in BCI. Emotional feelings are hard to stimulate in the lab. Emotions do not last long, yet they need enough context to be perceived and felt. However, most EEG-related emotion databases either suffer from emotionally irrelevant details (due to prol...

Availability of naturalistic affective stimuli is needed for creating the affective technological solution as well as making progress in affective science. Although a lot of progress in the collection of affective multimedia stimuli has been made in western countries, the technology and findings based on such monocultural datasets may not be scalab...

Understanding the dynamics of emotional experience is an old problem. However, a clear understanding of the mechanism of emotional experience is still far away. In the presented work, we tried to address this problem using a well-established method called microstate analysis using multichannel electroencephalography (EEG). We recorded the brain act...

While naturalistic stimuli, such as movies, better represent the complexity of the real world and are perhaps crucial to understanding the dynamics of emotion processing, there is limited research on emotions with naturalistic stimuli. There is a need to understand the temporal dynamics of emotion processing and their relationship to different dime...

While naturalistic stimuli like movies better resemble the complexity of the real world and are perhaps crucial to understanding the dynamics of emotion processing, there is limited research on emotions with naturalistic stimuli. There is a need to understand the temporal dynamics of emotion processing and their relationship to different dimensions...

Our brain continuously interacts with the body as we engage with the world. Although we are mostly unaware of internal bodily processes, such as our heartbeats, they may be influenced by and in turn influence our perception and emotional feelings. Although there is a recent focus on understanding cardiac interoceptive activity and interaction with...

Our brain continuously interacts with the body as we engage with the world. Although we are mostly unaware of internal bodily processes, such as our heartbeats, they may be influenced by and in turn influence our perception and emotional feelings. While there is a recent focus on understanding cardiac interoceptive activity and interaction with bra...

We describe the creation of an affective film dataset for researchers interested in studying a broad spectrum of emotional experiences. Two hundred twenty-two 60-seconds long video clips were selected based on multimedia content analysis and screened in the lab with 407 participants. The participants' ratings mapped to 31 emotion categories in the...

Emotion experiments with naturalistic paradigms are emerging and giving new insights into dynamic brain activity. Context familiarity is considered as an important dimensions of emotion processing by appraisal theorists. However, how the context un/familiarity of the naturalistic stimuli influences the central and autonomic activity is not probed y...

The emotion research with artificial stimuli does not represent the dynamic processing of emotions in real-life situations. The lack of data on emotion with the ecologically valid naturalistic paradigm hinders the knowledge of emotion mechanisms in a real-world interaction. To this aim, we collected the emotional multimedia clips, validated them wi...

Emotion is a constructed phenomenon that emerges from the dynamic interaction of multiple components neurologically, physiologically and behaviorally. Such dynamics can not be captured by static and controlled experiments. Hence, the study of emotion with a naturalistic paradigm is needed. In this dataset, multimedia naturalistic stimuli are used t...

What is an emotion? an old riddle repeatedly being attempted with advance modern tools and understanding of the age. With the new advancement old theories are tested and with correction new is formed. Such is the case with defining emotion broadly shifting from classical definite marker theory to statistically context situated conceptual theory. In...

In this paper I implemented an unobtrusive and non-invasive method to measure pulse rate and heart rate variability. We used Ballistocardiography technique which describes ballistic force applied by heart on blood. Ballistocardiography depicts repetitive motion in human body against blood flow because of the ballistic force. I followed process in w...

EEG based biometric system can be used for authentication, with advantages like confidentiality retention and forgery prevention. Signals which are taken from maximum brain regions show some sort of unique information that can be used for extracting the subject dependent pattern. This paper presents an approach to find the relationships among signa...

In this paper we implemented an unobtrusive and non-invasive method to measure pulse rate and heart rate variability. A Ballistocardiography technique has been used which describes ballistic force applied by heart on blood vessels. Ballistocardiography depicts repetitive motion in human body against blood flow because of the ballistic force. In thi...