Sayon Karmakar Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Little Rock

unknown

1 h-index 4 pubs 9 cited

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Biography and Research Information

OverviewAI-generated summary

Sayon Karmakar's research focuses on the intersection of technology and driver safety, particularly through the application of machine learning and wireless sensor networks. His work investigates methods for detecting driver drowsiness, a significant factor in road accidents. Karmakar has also explored the monitoring of driver biomarkers using medical wireless sensor networks within connected vehicles, aiming to enhance safety by identifying potential health issues that could impair driving ability.

Furthermore, his research extends to machine learning-based imaging within the context of connected vehicles. This involves utilizing advanced algorithms to analyze visual data, potentially for driver monitoring or environmental awareness. Karmakar collaborates with Seshadri Mohan at the University of Arkansas at Little Rock, evidenced by three shared publications. He has authored four publications with a total of nine citations and an h-index of 1, with his most recent publication in 2021, indicating recent activity in the field.

Metrics

  • h-index: 1
  • Publications: 4
  • Citations: 9

Selected Publications

  • Machine Learning-Based Imaging in Connected Vehicles Environment (2021) DOI
  • An IoT-based System with Machine Learning for Detecting Drowsiness of Drivers (2021) DOI
  • Monitoring Biomarkers of Drivers with Medical Wireless Sensor Networks Deployed in Connected Vehicles (2021) DOI

Collaborators

Researchers in the database who share publications

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