Hand Tracking for Mobile Virtual Reality

• Thesis title in Czech: Hand tracking pro mobilní virtuální realitu
• Thesis title in English: Hand Tracking for Mobile Virtual Reality
• Key words: virtuální realita|počítačové vidění|mobilní hry|hand tracking
• English key words: virtual reality|computer vision|mobile games|hand tracking
• Academic year of topic announcement: 2019/2020
• Thesis type: Bachelor's thesis
• Thesis language: angličtina
• Department: Department of Software and Computer Science Education (32-KSVI)
• Supervisor: Mgr. Jakub Gemrot, Ph.D.
• Author: hidden - assigned and confirmed by the Study Dept.
• Date of registration: 13.02.2020
• Date of assignment: 13.02.2020
• Confirmed by Study dept. on: 27.02.2020
• Date and time of defence: 10.09.2021 09:00
• Date of electronic submission: 22.07.2021
• Date of submission of printed version: 22.07.2021
• Date of proceeded defence: 10.09.2021
• Opponents: doc. RNDr. Elena Šikudová, Ph.D.

Guidelines

The thesis target is to create an Android VR application that will be capable of tracking positions of both the user and their hands. It should be possible to use the application on a smartphone with a single camera and a cheap mobile VR headset (like Google Cardboard). The main goal is implementing the logic behind hand tracking, while the application will be just a proof of concept.

References

Shrivastava, R. (2013, February). A hidden Markov model based dynamic hand gesture recognition system using OpenCV. In 2013 3rd IEEE International Advance Computing Conference (IACC) (pp. 947-950). IEEE.
Gurav, R. M., & Kadbe, P. K. (2015, May). Real time finger tracking and contour detection for gesture recognition using OpenCV. In 2015 International Conference on Industrial Instrumentation and Control (ICIC) (pp. 974-977). IEEE.