5 citations · 9 across the 4 of their papers we have counts for
5 papers
Scales, Reflections, and Conversations: A Multi-Modal Approach to Emotion Annotation
Pragya Singh, Prashasti Gupta, Hitesh Bhandari +3
Mental health concerns are increasing worldwide, highlighting the need for interventions that support everyday emotional well being. Prior work has demonstrated the potential of we…
FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition
Pragya Singh, Ankush Gupta, Somay Jalan +2
Emotion recognition from physiological signals has substantial potential for applications in mental health and emotion-aware systems. However, the lack of standardized, large-scale…
AnnoSense: A Framework for Physiological Emotion Data Collection in Everyday Settings for AI
Pragya Singh, Ankush Gupta, Mohan Kumar +1
Emotional and mental well-being are vital components of quality of life, and with the rise of smart devices like smartphones, wearables, and artificial intelligence (AI), new oppor…
Translating Emotions to Annotations -- A Participant Perspective of Physiological Emotion Data Collection
Pragya Singh, Ritvik Budhiraja, Pankaj Jalote +2
Physiological signals hold immense potential for ubiquitous emotion monitoring, presenting numerous applications in emotion recognition. However, harnessing this potential is hinde…
Can we say a cat is a cat? Understanding the challenges in annotating physiological signal-based emotion data
Pragya Singh, Mohan Kumar, Pushpendra Singh
Artificial Intelligence (AI) algorithms, trained on emotion data extracted from physiological signals, provide a promising approach to monitoring emotions, affect, and mental well-…