Interactive racing simulation game that leverages AI technology for gesture-based car control. Players can guide their car using a virtual steering wheel detected by their device's camera.

Readikai Race Game is an innovative car racing game that leverages AI technology and gesture recognition to control your car.

Controlling a car in a racing game using Hand Gesture Detection and mapping each gesture with a keyboard key, which controls the car.

A hand gesture recognition system lets you control your racing game's car intuitively, controlling seped and navigating turns with just your hands.

The Gesture-Controlled Car Racing Game uses machine learning to interpret hand gestures as in-game actions, replacing traditional controls. This project enhances gaming by offering an intuitive, hardware-free way to steer, accelerate, and brake in racing games.

Computer Vision controlled car racing game using PyGame and PyGame_Gesture_Kit

A computer vision hub featuring a low-latency gesture controller for racing games (NFS:MW) and a custom Pygame-based hand-controlled car game. Built with OpenCV and MediaPipe

This repo contains a Python-based project where you control a Hill Climb Racing-style game using hand gestures (yes, you heard that right 👋🚗). Powered by computer vision and machine learning, this model interprets your hand movements in real-time to accelerate, brake, or flip the car. It's fun, chaotic, and totally hands-free (well... kinda).

Abstract— In current days, the line of work of smart electronics and gaming market has developed tremendously scheduled to the availability of outshine sensing equipment's and new dispensation techniques which has to a great extent enabled the review of electronic module (RF, Gyroscope /accelerometer, Arduino etc.). At the moment time optical mouse is old ubiquitously, so container economical method to create improved consumer boundary by means of gestures through wrist. gestures by wrist canister be second-hand for a number of attention like calculating day to day electronic diplomacy such as mouse, keyboard, etc. optical mouse does not offer gestures and good quality consumer come across hence, we aim a wrist tattered sensor, blended with gestures and fun in low cost factor mainly taken into consideration. We produce a control to discriminate the next modes of operation: the mouse mode enables a pleasant client feel based on the wrist gestures and the laying a gaming mode enables client to attach any nature of playoffs that provides hand over on amusement and exciting experience. For the presentation of our undertaking we include the game called Need for speed which basically is a car racing game in which we obtain connected the gesture lobby group to the car movement. We have made the device at a price of INR Rs.1479/- which is quite low as compared with the other high-ends products available in the markets.

Gesture Game Control. Hey guys, Here I'm using openCV and Numpy libraries of Python to control a racing game with the steering wheel. It gives you a virtual driving experience. The screen is logically divided into 4 parts. When a particular color (in my case Blue) is detected in those parts a key press is called. Suppose Blue color was detected on the top left part of screen then a "A" key press is initiated and the car will turn left. The color boundaries were set using color.py in which we set range of HSV values for Blue color. Key press and key release fucntion was used from directkeys.py file. I'm using a WindowsOS and Spyder to run my project. This code will be compatable with any game on WindowsOS. If you are using MacOS then you might have modify the directkeys.py file. Follow the steps in requirements file to get the setup ready, then you could run the color.py file and directkeys.py file in order to set them up and make sure they're working correctly. Then you could run gameControll.py finally to get the output window.

Gesture-controlled car racing game using OpenCV, MediaPipe, and Pygame

A fun car racing game with mobile gesture controls, AI opponents, and customizable tracks

Carfinger Hand gesture controlled car racing game where you can control game by just few fingers in air. install required libarary .Mediapipe .opencv run on python 3.10 run any car racing game. run the python editor as administrator run the game_control.py file

A hand gesture controlled Hill Climb Racing game built using Python, OpenCV, MediaPipe, and PyAutoGUI. Control the car using real-time hand movements through your webcam

A gesture-controlled car racing game built using Python, OpenCV, and Pygame. Control the car using hand gestures (left/right) via webcam, avoid enemy cars, track score, and experience increasing speed as you level up. Includes sound effects, UI, and collision detection.

This project is a Python-based car racing game where the player controls the car using hand gestures detected via a webcam. The game leverages OpenCV and MediaPipe for real-time hand tracking, while the game environment is powered by Pygame.

This project is a virtual steering wheel controller that allows you to control a car in a racing game using hand gestures detected through a webcam. The project utilizes computer vision techniques to recognize gestures and translate them into keyboard inputs that control the game.

Developed a computer graphics-based car racing game using OpenGL, Unity, Python, and MediaPipe for hand gesture recognition, enhancing user interactivity. Implemented real-time gesture controls, realistic car physics, dynamic environments with weather effects, and ray tracing for realistic lighting and shadows.

A multimodal HCI system enabling intuitive, contactless control through hand gestures and voice input. Built with Python, MediaPipe, and OpenCV, it features a virtual keyboard, mouse, volume control, drawing app, a hand-controlled car racing game, and a voice-driven snake game. Ideal for accessibility, productivity, and gaming.

Python project using OpenCV and Numpy to control a car racing game with hand gestures. The game screen is divided into sections that detect specific colors to simulate keyboard inputs, providing a virtual and interactive driving experience.

The Virtual Steering project utilizes OpenCV to enable users to control a car racing game using hand gestures. By tracking hand movements through a webcam feed, users can steer the car left or right, offering an immersive and interactive gaming experience without the need for physical controllers.

A racing game with a top down view. Here you will be invited to experience the experience of taking a formula car across the circuit and defeating your opponents. This game was developed with Unity and has an innovative controller because to control the car steering using gesture recognition using Python.

This is an interactive car racing game built using Python, OpenCV, and MediaPipe, where the player's hand gestures control the car’s movement and speed — no keyboard or mouse required! The camera tracks the hand's tilt and distance from the webcam to steer and accelerate/decelerate the car in real-time.