Internship | Delft
Gesture Recognition using SenseGlove
Our people make the difference, do you share our vision of a future of spatial digital interactions based on touch? Then join our team.
In this project, you will develop a system to detect so called “dynamic gestures” using the SenseGlove’s on board finger tracking. A Neural Network has been developed to detect static poses of the hand, such as a “thumbs-up” or “pointing” gesture, but none yet that can detect gestures that incorporate movement; such as Microsoft HoloLens’s “Bloom” gesture, which opens a home menu.
SenseGlove aims to use this algorithm to enhance VR simulations (such as Teleporting or opening menus) and to allow 3rd party developers to detect their own custom gestures.
Key topics: C++, Gesture Recognition, Neural Networks
If you are a talented and ambitious MSc or BSc student in your education’s last two years, with a relevant skill set, please apply using the form below. Make sure you awe us with your previous projects and your resume.
This project is available from Q3 of 2021.
What SenseGlove has to offer
Achieve your research goals with SenseGlove. Our extensive plug-and-play Software Development Kit (SDK) for the Unity Engine allows the creation of haptic interactions in VR with little to no coding. For more in-depth research like telerobotics, SenseGlove offers a native C++ SDK that provides the ultimate freedom in data collection. Coupled with per-phalange/26 DoF tracking, our hardware and software give you an unmatched research experience.
Apply for
Gesture Recognition using SenseGlove
Tell us what makes you special and why we should hire you and we’ll let you know if we’re interested in an introductory meeting.
