About Gokul

Gokul holds a Bachelor’s degree in Electrical and Electronics from Anna University. His fields of research include Signal Processing, Embedded Systems, Machine Learning and Deep Learning. He has authored a paper on Low-Cost Wearable Gesture Recognition System with Minimal User Calibration for ASL, presented at IEEE Things 2019, Atlanta, US. He led a team of 4 for his work titled Gait Recovery System for Parkinson’s Disease using Machine Learning on Embedded Platforms, submitted to IEEE SYSCON 2019, Montreal. His current research on Reinforcement Learning is in the literature survey phase. He intends to pursue his Masters in the Fall of 2020.

Publications

Gait Recovery System for Parkinson's Disease using Machine Learning on Embedded Platforms
Gokul Hari, Prithvi Suresh, Hari Vignesh Baskar, Pravin Kumaar R, Vineeth Vijayaraghavan
2020 IEEE International Systems Conference (SysCon) (Accepted)
View code on GitHub  

Low-Cost Wearable Gesture Recognition System with Minimal User Calibration for ASL
Syed Shahbaaz Ahmed, Gokul Hari, Prithvi Suresh, Vineeth Vijayaraghavan
2019 International Conference on Internet of Things (iThings)
View code on GitHub   Slides