activity
20152026
most citedExploiting Multi-modal Contextual Sensing for City-bus's Stay Location Characterization: Towards Sub-60 Seconds Accurate Arrival Time Prediction

11 citations · 31 across the 16 of their papers we have counts for

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6 papers · 1 filter

cs.HC2026

Understanding Behavioral Dark Patterns of High BMI Individuals

Manjeet Yadav, Prasenjit Karmakar, Suchetana Chakraborty

Understanding how everyday behaviors influence body weight is essential for designing effective and personalized health interventions. Existing studies largely rely on self-reporte…

cs.HC2026★ 1 cited

From Invisible to Actionable: Augmented Reality Interactions with Indoor CO2

Prasenjit Karmakar, Manjeet Yadav, Swayanshu Rout +2

Indoor carbon dioxide (CO2) can rapidly accumulate to form invisible pollution hotspots, posing significant health risks due to its odorless and colorless nature. Despite growing i…

cs.HC2024

Exploiting Air Quality Monitors to Perform Indoor Surveillance: Academic Setting

Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty

Changing public perceptions and government regulations have led to the widespread use of low-cost air quality monitors in modern indoor spaces. Typically, these monitors detect air…

cs.HC2024

Exploring Indoor Air Quality Dynamics in Developing Nations: A Perspective from India

Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty

Indoor air pollution is a major issue in developing countries such as India and Bangladesh, exacerbated by factors like traditional cooking methods, insufficient ventilation, and c…

cs.HC2023

Exploring Indoor Health: An In-depth Field Study on the Indoor Air Quality Dynamics

Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty

Indoor air pollution, a significant driver of respiratory and cardiovascular diseases, claims 3.2 million lives yearly, according to the World Health Organization, highlighting the…

cs.HC2023★ 5 cited

mmDrive: mmWave Sensing for Live Monitoring and On-Device Inference of Dangerous Driving

Argha Sen, Avijit Mandal, Prasenjit Karmakar +2

Detecting dangerous driving has been of critical interest for the past few years. However, a practical yet minimally intrusive solution remains challenging as existing technologies…