Muthukumar Perumalsamy

Jeju National University

Papers

1

Total Citations

10

H-Index

1

About

Dr. Muthukumar Perumalsamy is at the forefront of wearable sensor technology and intelligent human–machine interfaces, with a primary focus on developing flexible, deep learning-assisted devices for real-time health monitoring and biomedical applications. His most cited work, "Deep Learning-Assisted Organogel Pressure Sensor for Alphabet Recognition and Bio-Mechanical Motion Monitoring" (2025, 10 citations), introduces an innovative organogel-based pressure sensor that integrates deep learning algorithms to achieve precise alphabet recognition and continuous biomechanical motion tracking. This breakthrough addresses a critical challenge in the field—simultaneously achieving high sensitivity, flexibility, and intelligent data interpretation in a single wearable platform. Dr. Perumalsamy's contributions are particularly notable for bridging materials science and artificial intelligence, enabling seamless human–machine interaction for applications ranging from clinical diagnostics to robotic control. His research holds significant promise for advancing non-invasive health monitoring systems and smart prosthetics. With a growing citation impact and a focus on practical, real-world deployment, Dr. Perumalsamy is establishing himself as an emerging leader in next-generation wearable electronics and intelligent sensing systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Deep Learning-Assisted Organogel Pressure Sensor for Alphabet Recognition and Bio-Mechanical Motion Monitoring
10 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Jeju National University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago