UpdatedNov 3, 2020
PublishedNov 3, 2020
Packageit.unitn.mag.tlc.eyeGaze
MD5bfbc3d71434d55c0c0fe264b070a197a
SHA1 (signer)28:F4:31:58:7C:2C:CD:77:29:D5:16:B5:23:E4:E3:75:8F:91:EB:66
Signed byCN=Edoardo Gattei, ST=Italy
Architecturesx86, x86-64, armeabi, armeabi-v7a, arm64-v8a, mips, mips64
Malware scanTRUSTED
Contact[email protected]
Privacy policyView
What's new
- Fixed dark Camera Expose in some devices
- Fixed Video Stabilization regression
- Support extended to Android N
- Fixed Menu entries
- Fixed Video Stabilization regression
- Support extended to Android N
- Fixed Menu entries
Description
Eye Gaze is the application developed for my master's thesis. It is a simple demonstration of the implemented features.
In particular, the app lets you to stabilize (for small displacements) the camera shakes and track the gaze direction after the detection of the user's facial features.
The developed system exploits the OpenCV library.
VIDEOSTABILIZATION:
There are two possible approaches to video stabilize the camera, but not every device support both adequately.
TRACKING:
In order for the system to work, the user must focus the face. Furthermore, wearing glasses or the presence of disturbing elements modifies the application's right performance.
For the system's optimization, you should put yourself in adequately illuminated places. As a matter of fact, too much illumination or an inadequate one could modify the system's performance.
The facial feature which is considered the most influencing one on the system's correct performance is the eye's extremity, especially its detection; this is the reason why the user is free to choose the approach which he considers to be the best one.
**** INFO ****
For any info, please contact me via e-mail
In particular, the app lets you to stabilize (for small displacements) the camera shakes and track the gaze direction after the detection of the user's facial features.
The developed system exploits the OpenCV library.
VIDEOSTABILIZATION:
There are two possible approaches to video stabilize the camera, but not every device support both adequately.
TRACKING:
In order for the system to work, the user must focus the face. Furthermore, wearing glasses or the presence of disturbing elements modifies the application's right performance.
For the system's optimization, you should put yourself in adequately illuminated places. As a matter of fact, too much illumination or an inadequate one could modify the system's performance.
The facial feature which is considered the most influencing one on the system's correct performance is the eye's extremity, especially its detection; this is the reason why the user is free to choose the approach which he considers to be the best one.
**** INFO ****
For any info, please contact me via e-mail
Required features
- Camera Front android.hardware.camera.front
- Faketouch android.hardware.faketouch
- Screen Landscape android.hardware.screen.landscape
Permissions (1)
Eye Gaze requests the following Android permissions:
- Camera android.permission.CAMERA
