Daniel Stolpmann
Daniel Stolpmann received the B.Sc. and M.Sc. degrees in computer science and engineering from Hamburg University of Technology (TUHH), Germany, in 2017 and 2019. During his master studies, he started working at the Institute of Communication Networks (ComNets) as a student assistant and became a research fellow after his graduation. At ComNets, he conducted research on machine learning for communication networks, network coding and network emulation. In 2024, he joined Tegtmeier Inkubator as a senior software developer and started working on AI-enabled smart home systems.
Session
In this talk, we show how to leverage publicly available tools to control any game or program using hand or body movements. To achieve this, we introduce PosePIE, an open-source programmable input emulator that generates input events on virtual gamepads, keyboards and mice based on gestures recognized by using AI-driven pose estimation. PosePIE is fully configurable by the user through Python scripts, making it easily adaptable to new applications.