Sign Language Recognition using Machine Learning

Muhammad Saad Amin will talk about the problems related to Sign Language Recognition, from the creation of the dataset to the design of the algorithm.

Title: Sign Language Recognition using Machine Learning

Human gesture classification and recognition is always a challenging task. Capturing human gestures and transforming these gestures into labeled digital data is mainly required to train supervised Machine Learning algorithms. Hence, SLR systems with improved accuracy and increased efficiency are the need of the hour.

In this seminar, he will discuss how to capture gestures (specifically ASL) using sensor-based prototypes? How to convert these sign gestures into digital data (dataset generation)? And how a dataset can be used for SL recognition using Supervised Machine Learning algorithms?

When: November 19 at 11.30

Where: in presentia (032_A_P03_3140) or online

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