Research Intern 
(May 2018 - July 2018)

Project title: ‘Finger Movement Classification of Myoelectric Signals using Convolutional Neural Networks’

• Performed data collection & developed an algorithm to classify finger movements from Electromyography signals using CNN.
• Performed an analysis of the performance of CNN architectures like InceptionNet, VGGNet and ResNet on the data.
• Achieved 72.5% accuracy using a custom variant of InceptionNet which was used to track the movement of a robotic arm.​

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Link to ROBIO 2018: https://ieeexplore.ieee.org/abstract/document/8664807

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GitLab repo: https://gitlab.com/venkateshbs.71097/Finger_Movement_Classification