The University of Lahore (Department of CS & IT) (Fall 2015 โ Spring 2019) - Final Year Project
- Muhammad Junaid Ejaz
- Muhammad Saad Qadri
- RealTime sign detection module - convert Pakistan Sign Language (PSL) alphabet and words into text and speech in realtime.
- Capture Dataset module - Automated system for capturing and adding new data to the dataset
- PSl learning module - Learn PSL interactively
The system uses OpenPose v1.5.0 library for extacting skelatal features.
The code was developed with python 3.7 and has been tested with the libraries/versions in requirements.txt file.
We have made our own Pakistan Sign Language (PSL) dataset containing multiple samples of 37 urdu aplhabets and 12 urdu words. The dataset is made publically available at: https://www.kaggle.com/saadbutt321/pakistan-sign-language-dataset
OpenPose GitHub repo: https://github.com/CMU-Perceptual-Computing-Lab/openpose Origin of OpenPose: https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation Paper describing the method: https://arxiv.org/abs/1611.08050 Keras implementation of the Realtime Multi-Person Pose Estimation (my major inspiration): https://github.com/michalfaber/keras_Realtime_Multi-Person_Pose_Estimation.