Contact-free sensors could help track movement symptoms in Parkinson's disease

Disease progression in people with Parkinson's disease can be accurately monitored using sensors, removing some of the ...
New Atlas

Reactive digital trainer sharpens your basketball skills like no other

For decades, basketball training technology has relied on repetition and pre-set programming modes. The standard machine ...

Pythons' extreme biology may hold clues for treating human disease

These snakes can go for months without eating, grow and shrink the size of their hearts and jump start their metabolism on a ...
Hackaday

CGI Motion Capture With Only A Camera

Computer-generated imagery (CGI) has largely replaced physical models in major film productions these days, but the ...
GitHub

ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation

ARDY is an autoregressive diffusion model designed for interactive motion generation, supporting online text prompting and flexible long-horizon kinematic constraints (root paths/waypoints, full-body ...
IEEE

Hand Gesture Recognition is Achieved by Collecting the Deformation of Arm Muscles Using Cladding Waveguide Fiber Bragg Gratings

Abstract: In the field of medical rehabilitation, smart wearable technology is highly favored for its features such as portability, flexibility, and comfort. This paper proposes a method that uses ...
IEEE

Hardware-Based Spiking Neural Network for Real-Time Hand Gesture Recognition Using MYO Armband EMG Sensor

Abstract: Hand gesture recognition is a key technology for improving prosthetic control and enhancing human-robot interaction. Traditional machine learning approaches struggle with real-time, ...