Student Assistant to Support Social Interaction Dataset Capture

Student Assistant to Support Social Interaction Dataset Capture

Studying human-scene and human-human interactions from visual input is important for understanding human behaviors, as well as many applications such as AR/VR. To that end, The VLG lab (Computer Vision and Learning Group) at ETH is currently working on data capture of a social interaction dataset to capture rich and complex interaction signals including body and hand poses, facial expression and gaze directions, and the goal is to capture 2 people interacting with each other in indoor rooms with 3 Azure Kinect cameras and a Hololens2 VR glasses. 

We are looking for students of ETH Zurich who can support the team up to 15 hrs/week (during semester) and up to 41 hrs/week (in semester break) as a student assistant for around 2 months, ​​from 10th May, 2022 or by arrangement.

Your responsibilities would include:

• help with the capture setup and during the capture: explain matters that need attention to participants, help to set up cameras
• process the captured data: examine the accuracy of Openpose 2D body joints detected from the captured videos

We are looking for students who:

• can speak fluent English
• are proficient with C++/Python, OpenCV, knowledge of computer vision

ETH Zurich is one of the world’s leading universities specialising in
science and technology. We are renowned for our excellent education,
cutting-edge fundamental research and direct transfer of new knowledge
into society. Over 30,000 people from more than 120 countries find our
university to be a place that promotes independent thinking and an
environment that inspires excellence. Located in the heart of Europe,
yet forging connections all over the world, we work together to
develop solutions for the global challenges of today and tomorrow.

We look forward to receiving your online application with your:

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about VLG group can be found on our website . Questions regarding the position should be sent to Siwei Zhang, [email protected] (no applications).