most citedInvestigating the Generalizability of ECG Noise Detection Across Diverse Data Sources and Noise Types

4 citations · 7 across the 12 of their papers we have counts for

collaborators

12 papers

eess.SP2025

DySTAN: Joint Modeling of Sedentary Activity and Social Context from Smartphone Sensors

Aditya Sneh, Nilesh Kumar Sahu, Snehil Gupta +1

Accurately recognizing human context from smartphone sensor data remains a significant challenge, especially in sedentary settings where activities such as studying, attending lect…

cs.LG2025

HCFSLN: Adaptive Hyperbolic Few-Shot Learning for Multimodal Anxiety Detection

Aditya Sneh, Nilesh Kumar Sahu, Anushka Sanjay Shelke +2

Anxiety disorders impact millions globally, yet traditional diagnosis relies on clinical interviews, while machine learning models struggle with overfitting due to limited data. La…

cs.HC2025

Real-World Receptivity to Adaptive Mental Health Interventions: Findings from an In-the-Wild Study

Nilesh Kumar Sahu, Aditya Sneh, Snehil Gupta +1

The rise of mobile health (mHealth) technologies has enabled real-time monitoring and intervention for mental health conditions using passively sensed smartphone data. Building on…

cs.CL2025

An Offline Mobile Conversational Agent for Mental Health Support: Learning from Emotional Dialogues and Psychological Texts with Student-Centered Evaluation

Vimaleswar A, Prabhu Nandan Sahu, Nilesh Kumar Sahu +1

Mental health plays a crucial role in the overall well-being of an individual. In recent years, digital platforms have increasingly been used to expand mental health and emotional…

eess.SP2025

Are Anxiety Detection Models Generalizable? A Cross-Activity and Cross-Population Study Using Wearables

Nilesh Kumar Sahu, Snehil Gupta, Haroon R Lone

Anxiety-provoking activities, such as public speaking, can trigger heightened anxiety responses in individuals with anxiety disorders. Recent research suggests that physiological s…

cs.CV2025

AnxietyFaceTrack: A Smartphone-Based Non-Intrusive Approach for Detecting Social Anxiety Using Facial Features

Nilesh Kumar Sahu, Snehil Gupta, Haroon R Lone

Social Anxiety Disorder (SAD) is a widespread mental health condition, yet its lack of objective markers hinders timely detection and intervention. While previous research has focu…

cs.LG2025★ 4 cited

Investigating the Generalizability of ECG Noise Detection Across Diverse Data Sources and Noise Types

Sharmad Kalpande, Nilesh Kumar Sahu, Haroon Lone

Electrocardiograms (ECGs) are vital for monitoring cardiac health, enabling the assessment of heart rate variability (HRV), detection of arrhythmias, and diagnosis of cardiovascula…

cs.HC2025★ 2 cited

Exploring Heart Rate Variability and Heart Rate Dynamics Using Wearables Before, During, and After Speech Activity: Insights from a Controlled Study in a Low-Middle-Income Country

Nilesh Kumar Sahu, Snehil Gupta, Haroon R. Lone

Conventional methods for diagnosing Social Anxiety Disorder (SAD), such as clinical interviews and self-reported questionnaires, often face accessibility barriers and subjective bi…

cs.CY2024★ 1 cited

Beyond Questionnaires: Video Analysis for Social Anxiety Detection

Nilesh Kumar Sahu, Nandigramam Sai Harshit, Rishabh Uikey +1

Social Anxiety Disorder (SAD) significantly impacts individuals' daily lives and relationships. The conventional methods for SAD detection involve physical consultations and self-r…

cs.CL2024

Exploring Social Media Posts for Depression Identification: A Study on Reddit Dataset

Nandigramam Sai Harshit, Nilesh Kumar Sahu, Haroon R. Lone

Depression is one of the most common mental disorders affecting an individual's personal and professional life. In this work, we investigated the possibility of utilizing social me…

cs.CY2024

Understanding Stress: A Web Interface for Mental Arithmetic Tasks in a Trier Social Stress Test

Manjeet Yadav, Nilesh Kumar Sahu

Stress is a dynamic process that reflects the responses of the brain. Traditional methods for measuring stress are often time-consuming and susceptible to recall bias. To address t…

cs.CL2024

Leveraging language models for summarizing mental state examinations: A comprehensive evaluation and dataset release

Nilesh Kumar Sahu, Manjeet Yadav, Mudita Chaturvedi +2

Mental health disorders affect a significant portion of the global population, with diagnoses primarily conducted through Mental State Examinations (MSEs). MSEs serve as structured…