activity
20192024
most citedAn Affective Video Database using Multimedia Content Analysis rated on Indian samples

3 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2024

Proactive Emotion Tracker: AI-Driven Continuous Mood and Emotion Monitoring

Mohammad Asif, Sudhakar Mishra, Ankush Sonker +3

This research project aims to tackle the growing mental health challenges in today's digital age. It employs a modified pre-trained BERT model to detect depressive text within soci…

cs.HC2024★ 2 cited

Deep Fuzzy Framework for Emotion Recognition using EEG Signals and Emotion Representation in Type-2 Fuzzy VAD Space

Mohammad Asif, Noman Ali, Sudhakar Mishra +2

Recently, the representation of emotions in the Valence, Arousal and Dominance (VAD) space has drawn enough attention. However, the complex nature of emotions and the subjective bi…

eess.SP2022★ 1 cited

Emotion Recognition With Temporarily Localized 'Emotional Events' in Naturalistic Context

Mohammad Asif, Sudhakar Mishra, Majithia Tejas Vinodbhai +1

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 la…

eess.IV2022★ 3 cited

An Affective Video Database using Multimedia Content Analysis rated on Indian samples

Sudhakar Mishra, Narayanan Srinivasan, Uma Shanker Tiwary

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 progre…

q-bio.NC2022★ 1 cited

Analysis of Microstate Organization During Emotional Events

Sudhakar Mishra, Narayanan Srinivasan, Uma Shanker Tiwary

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 wo…

q-bio.NC2019★ 1 cited

A Cognition-Affect Integrated Model of Emotion

Sudhakar Mishra, U. S. Tiwary

The focus of the efforts for defining and modelling emotion is broadly shifting from classical definite marker theory to statistically context situated conceptual theory. However,…