Gesture Recognition

Transform TV control with Gesture Recognition! Enable intuitive interaction with smart TVs using gestures built using Conv3D, CNN & RNN

My team partner and I did this project where we developed a feature in a company’s smart TV that can recognise five different predetermined gestures performed by the user, which will help users control the TV without using a remote.

Develop a cool feature in the smart-TV that can recognise five different gestures performed by the user which will help users control the TV without using a remote.

Develop a conv3D model that can recognise five different gestures performed by the user which will help users control the TV without using a remote

어린이집 CCTV로 학대상황 감지

The objective of this project is to recognize hand gestures using state-of-the-art neural networks.

Fight Detection From Surveillance Cameras by fine-tuning a PyTorch Pretrained Model

Real-Time Visual Speech and Emotion Recognition (ViSpEr) an end-to-end neural network for the low-resource visual speech and facial emotion recognition task, using 3D CNNs and LSTMs

Hand Gesture Recognition using Deep Learning Framework

Imagine you are working as a data scientist at a home electronics company which manufactures state of the art smart televisions. You want to develop a cool feature in the smart-TV that can recognize five different gestures performed by the user which will help users control the TV without using a remote.

Data science Mini projects

Hand gesture recognition using convolutional neural network and recurrent neural network

Experiments for the article "A Comparison of Neural Networks for Sign Language Recognition with LSA64" (JCC 2021)

A Simple Three Dimensional Convolutional Neural Networks approach

Gender classification on 3D IXI Brain MRI dataset with Keras and Tensorflow

This repository contains my personal code for the paper Learning Spatiotemporal Features with 3D Convolutional Networks by Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri.

This repo is for the people who want to utilize conv3d for building 3dgan models.

A python class compatible with TensorFlow to perform data augmentation on 3D objects during CNN training.