Rohit-Jain-2801 / GestureDriving

Playing Racing Games using Gestures!

GestureDriving

Playing Racing Games using Gestures!

Description

Do you want to play racing game without touching your keyboard keys 🙄? Then you are at the right place 😇. This project is an application of Hand Detection, that helps demonstrate and simulate Gesture-based Driving 😎.

Getting Started

1. Clone this repo.
2. Make sure all necessary dependencies are installed.
3. Dive into the project folder & run python run.py in your terminal.
4. Wait for the program to load-up & voila 🥳 then you can play game using gestures!

Video Demonstration

• YouTube Video - GestureDriving Gameplay of DiRT 3 game

Walkthrough

• Taking arguments from terminal
  • Used argparse library to handle command-line arguments.
  • Tried to make sure, the whole program is manually configurable.
  • Optional Arguments:

    Arg	Argument	Description
    -h	--help	Show Help Messages
    -dr	--displayRunning	Display the Running Processes Paths
    -de	--displayEnlisted	Display the Enlisted Processes Paths
    -a val	--add val	Number of Process Paths to be added to Collection
    -rm	--remove	Remove Process Path(s) from Collection
    -e	--edit	Edit Process Path(s) in Collection
    -dc	--default_configuration	Display Default Configuration
    -c	--configure	Run with Manual Configuration. Place "-1" to skip

  • Note: -c optional argument takes a number of arguments/values-
    • frame_width: width of the input camera video
    • frame_height: height of the input camera video
    • fps_div: frames to be considered apart from each other
    • min_detection_conf: minimum detection confidence
    • min_tracking_conf: minimum tracking confidence
    • measure: 0 for distance measure or 1 for comparison measure
    • nitrous: 0 for no-nitrous or 1 for nitrous support
    • dir_thr_sm: direction threshold small
    • dir_thr_bg: direction threshold big
    • app_flag: apply keyboard mapping to all applications
• Displaying Running processes paths
  • Used psutil library to get list of running processes paths.
• Add, remove, edit, display Collection/Enlisted processes paths
  • Used basic file operations on txt file.
  • The program will only run if process's path enlisted is found to be running.
  • If No process is enlisted, the program will run in Demo mode.
• Display default configuration
  • Used inspect module to get default configuraton arguments.
• Detecting hands in the realtime video feed
  • Used OpenCV to access VideoCamera and to display landmarks & other stuffs on it.
  • Used MediaPipe for Hands Detection & Tracking.
• Implementing driving actions
  • Without Nitrous support
    • Right Thumb Down: Acceleration (Up Arrow)
    • Left Thumb Down: Reverse (Down Arrow)
    • Both Thumbs Up: No Action
  • With Nitrous support
    • Right Thumb Down: Nitrous & Acceleration (Ctrl + Up Arrow)
    • Left Thumb Down: Reverse (Down Arrow)
    • Both Thumbs Up: Acceleration (Up Arrow)
  • Note: If both the thumbs are down, preference will be given to left thumb.
• Implementing turning actions
  • Considered angle of rotation to make a turn.
    • While angle below dir_thr_sm: no action.
    • While angle between dir_thr_sm & dir_thr_bg: button is pressed & released.
    • While angle above dir_thr_bg: button is pressed until angle is no longer above.
• Support for One-Hand Driving
  • Driving actions will be dependent upon the hand used (left/right).
  • Turning actions will take center of video frame as reference.
• Configuring Driving & Turning actions
  • Can be easily re-configured with little knowledge of python 🤗.
• Determining if thumb is down enough
  • Considered constant*handSize to get a threshold for determining if thumb is down on index-finger.
• Implementing key-mappings of keyboard
  • Used keyboard library for key-mappings.
• Determining if enlisted process is focused
  • Used win32gui library to get hwnd, passing it to win32process library to get it's corresponding pid.
  • This is followed by matching it to enlisted process pid got from psutil.
  • If both the pids' matches, then key-mapping are performed else not.
  • This ensures key-mappings are restricted to enlisted process only.

Future Scope

• Provide options for changing key-mappings.
• Provide GUI Interface for manual configuration.
• Improve Hand detection & tracking specially in case of high contrast.
• Improve thumb-based & turn action while playing.
• Support for multiple applications at a time.
• Support for OS other than Windows.
• Automatic start-up support when OS loads.