Italian researchers turn Wi-Fi signals into biometric tools, enabling passive tracking of individuals without phones using AI ...

Neural network handwritten digit recognition on a Game Boy A neural network? In my Game Boy? It's more likely than you think. This is a demonstration of neural network (NN) inference on a Game Boy.

Drawing on foundational guidance on digital health architecture from WHO as well as insights from five Digital Health Exemplar countries, this issue highlights practical strategies for advancing ...

Accurate air-writing recognition is pivotal for advancing state-of-the-art text recognizers, encryption tools, and biometric technologies. However, most existing air-writing recognition systems rely ...

Automatic handwriting recognition systems are of interest for academic research fields and for commercial applications. Recent advances in deep learning techniques have shown dramatic improvement in ...

Renderform is a handwritten mathematical formula recognition system that processes images of handwritten text and parses them into recognized mathematical formulas, which can be rendered in LaTeX. The ...

This paper presents an implementation of low-latency LeNet-5 architecture for real-time handwritten digit recognition. The proposed architecture comprises three convolutional layers, two max pooling ...

An experimental computing system physically modeled after the biological brain "learned" to identify handwritten numbers with an overall accuracy of 93.4%. The key innovation in the experiment was ...

With sophisticated handwritten text recognition, it is possible to have the best of both worlds. More and more products are emerging to support this, many using online handwriting recognition which ...

Taken together, the results of the study suggest benefits of handwriting on the neural processing and behavioral performance in response to Chinese character recognition and curved-line drawing ...