4 Repos
Systems for mapping physical input devices to virtual system inputs using logical combinations.
Distinguishing note: None of the candidates cover the general logical assignment of physical axes and keys to emulated system inputs.
Explore 4 awesome GitHub repositories matching hardware & iot · Input Control Assignment. Refine with filters or upvote what's useful.
MAME is a vintage hardware emulation platform designed to recreate the circuitry of arcade games, computers, and consoles to run original software on modern devices. It functions as a retro gaming preservation framework for managing, verifying, and archiving ROM sets and disk images to ensure long-term software accessibility. The project features a system debugging tool for inspecting emulated memory, CPU registers, and execution flow via breakpoints and disassembly. It also includes a Lua-based automation layer that exposes core system state and hardware controls for custom behavior and anal
Maps physical input devices to virtual system inputs using logical boolean combinations.
Zelda64Recomp is a native game recompilation project that translates legacy binary machine code into modern machine code. It functions as a native hardware port and a static recompiled binary, executing original game logic directly on modern CPUs and GPUs to run without an emulator. The project serves as a moddable game engine, providing a framework to apply community texture packs and code patches to the recompiled title. It includes native hardware porting capabilities that remove emulator overhead to improve stability and frame rate control. The software covers retro game modernization th
Connect physical gamepad buttons and axes to virtual controls using a standardized input database.
VDO.Ninja is a low-latency peer-to-peer media routing service and video streaming platform designed to integrate remote audio and video feeds into professional production workflows. It functions as a WebRTC broadcast integration tool and studio controller, allowing for the direct transmission of high-definition media between publishers and viewers with minimal delay. The platform distinguishes itself through extensive protocol bridging, converting between WebRTC, WHIP, WHEP, SRT, and RTMP to ensure compatibility across diverse network environments and professional studio software. It includes
VDO.Ninja selects a specific camera by device ID via a connection link to automate setup.
This project is a ROS2 depth camera driver that streams synchronized RGB, depth, infrared, and IMU data from Intel RealSense sensors as ROS2 topics. It functions as a managed camera interface using lifecycle nodes with explicit state transitions to ensure deterministic startup and shutdown within robotic systems. The driver includes an RGBD perception pipeline that aligns depth to color and generates 3D point clouds for spatial analysis. It features a depth camera calibration tool that provides ROS2 services for reading and writing on-device calibration and safety configuration parameters. T
Assigns unique identifiers to each device to distinguish multiple hardware units within a shared communication graph.