# GPU Accelerated Contactless Human Machine Interface for Driving Car

## TL;DR

This paper introduces a GPU-accelerated contactless human-machine interface for driving cars, utilizing computer vision to interpret hand gestures in real-time for vehicle control.

## Contribution

It presents a novel GPU-optimized framework that enables real-time, contactless interaction for driving cars using hand gesture recognition.

## Key findings

- Real-time hand gesture recognition achieved.
- GPU acceleration improves processing speed.
- Flexible interface customization possible.

## Abstract

In this paper we present an original contactless human machine interface for driving car. The proposed framework is based on the image sent by a simple camera device, which is then processed by various computer vision algorithms. These algorithms allow the isolation of the user's hand on the camera frame and translate its movements into orders sent to the computer in a real time process. The optimization of the implemented algorithms on graphics processing unit leads to real time interaction between the user, the computer and the machine. The user can easily modify or create the interfaces displayed by the proposed framework to fit his personnel needs. A contactless driving car interface is here produced to illustrate the principle of our framework.