• An iOS Framework that enables developers to use eye track information with ARKit content.

• Acquire eye tracking info
  • face position & rotation
  • eyes position
  • lookAtPosition in World
  • lookAtPoint on device screen
  • blink
  • distance
• Record video while acquiring data

To try the example project, simply clone this repository and open the Examples folder

EyeTrackKit is compatible on iOS devices that support ARKit.

EyeTrackKit requires:

• Swift UI
• iOS 13
• Swift 5.3 or higher

• Language: Swift
• Xcode: Xcode version 12.0.1 (12A7300)
• Libralies:
  • ARKit
  • ARVideoKit

1. In Xcode, select File > Swift Packages > Add Package Dependency.
2. Follow the prompts using the URL for this repository.

1. Make sure you add the usage description of the camera, microphone, and photo library in the app's Info.plist.

<key>NSCameraUsageDescription</key>
<string>AR Camera</string>
<key>NSPhotoLibraryAddUsageDescription</key>
<string>Export AR Media</string>
<key>NSPhotoLibraryUsageDescription</key>
<string>Export AR Media</string>
<key>NSMicrophoneUsageDescription</key>
<string>Audiovisual Recording</string>

2. import ARVideoKit in the application delegate AppDelegate.swift and a UIViewController with an ARKit scene.

3. In the application delegate AppDelegate.swift, add this 👇 in order to allow the framework access and identify the supported device orientations. Recommended if the application supports landscape orientations.

func application(_ application: UIApplication, supportedInterfaceOrientationsFor window: UIWindow?) -> UIInterfaceOrientationMask {
    return ViewAR.orientation
}

MIT

Yuki Yamato [ukitomato]