How is machine learning used in gesture recognition?

How is machine learning used in gesture recognition?

Machine learning is used in gesture recognition to analyze and interpret human movements through algorithms that learn from data.

What types of algorithms are commonly used for this?

Common algorithms include convolutional neural networks (CNNs) for image data and recurrent neural networks (RNNs) for sequential data.

Can you give an example of a real-world application?

Sure! One example is using gesture recognition in virtual reality systems to enhance user interaction.

What are the challenges in implementing these systems?

Challenges include ensuring accuracy in diverse environments, handling occlusions, and the need for large datasets for training.