Deep learning based Hand gesture recognition system and design of a Human-Machine Interface

no code implementations • 7 Jul 2022 • Abir Sen, Tapas Kumar Mishra, Ratnakar Dash

In our work, five pre-trained CNN (VGG16, VGG19, ResNet50, ResNet101, and Inception-V1) models and ViT have been employed to classify hand gesture images.

Hand Detection Hand Gesture Recognition +3

A Novel Hand Gesture Detection and Recognition system based on ensemble-based Convolutional Neural Network

no code implementations • 25 Feb 2022 • Abir Sen, Tapas Kumar Mishra, Ratnakar Dash

In the last part, the output scores of CNN models are averaged to construct an optimal ensemble model for the final prediction.

Hand Gesture Recognition Hand-Gesture Recognition

Weakly-supervised Joint Anomaly Detection and Classification

no code implementations • 20 Aug 2021 • Snehashis Majhi, Srijan Das, Francois Bremond, Ratnakar Dash, Pankaj Kumar Sa

Thinking of a fully automatized surveillance system, which is capable of both detecting and classifying the anomalies that need immediate actions, a joint anomaly detection and classification method is a pressing need.

Anomaly Detection Classification +1

Backward-Forward Algorithm: An Improvement towards Extreme Learning Machine

no code implementations • 24 Jul 2019 • Dibyasundar Das, Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi

The extreme learning machine needs a large number of hidden nodes to generalize a single hidden layer neural network for a given training data-set.