Search Results for "sensor motion"
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Showing 28 open source projects for "sensor motion"
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kapture
Tools for manipulating datasets
Kapture is a pivot file format, based on text and binary files, used to describe SfM (Structure From Motion) and more generally sensor-acquired data. -
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ESPectre
Motion detection system based on Wi-Fi spectre analysis (CSI)
...Designed to integrate natively with Home Assistant through ESPHome, ESPectre exposes motion and movement intensity sensors directly to home automation dashboards, allowing users to trigger automations like lighting, heating, or security alerts when motion is detected. -
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NVIDIA Isaac Lab
Unified framework for robot learning built on NVIDIA Isaac Sim
Isaac Lab is an open-source modular robotics learning framework built atop Isaac Sim. It simplifies research workflows across reinforcement learning, imitation learning, and motion planning by offering robust, GPU-accelerated simulation with realistic sensor and physics fidelity—ideal for sim-to-real robot training. Compatible and optimized for use with Isaac Sim versions (e.g., Sim 5.0 and 4.5). GPU-accelerated, high-fidelity physics and sensor simulation suitable for complex learning tasks. Offers a variety of robotic environment simulations on both Linux and Windows. -
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Gyroflow
Video stabilization using gyroscope data
Gyroflow is an advanced open-source video stabilization application that uses gyroscope and motion sensor data to produce highly accurate and cinematic stabilization results. Instead of relying solely on visual estimation like traditional software stabilizers, it processes real motion data recorded by cameras or external sensors to achieve more precise compensation. This approach allows it to correct complex camera movement, rolling shutter distortion, and lens artifacts while preserving image quality. ... -
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RuView
Turn WiFi signals into real-time human sensing and spatial awareness.
RuView is an edge AI perception system that transforms ordinary WiFi signals into real-time environmental sensing and human pose estimation. Built on the concept of WiFi DensePose, it analyzes disturbances in WiFi Channel State Information (CSI) caused by human movement to reconstruct body position, breathing patterns, heart rate, and presence. Unlike traditional vision systems, RuView operates without cameras, wearables, or cloud connectivity, making it a privacy-first sensing solution. The... -
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Homebridge Camera FFmpeg
Homebridge Plugin Providing FFmpeg-based Camera Support
Homebridge plugin provides FFmpeg-based camera support. This plugin is supported under both Homebridge and HOOBS. It is highly recommended that you use either Homebridge Config UI X or the HOOBS UI to install and configure this plugin. Other users have been sharing configurations that work for them on our GitHub site. You may want to check that to see if anyone else has gotten your model of camera working already, or share a configuration setup that works for you. The FFmpeg output command... -
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DriveLM
Driving with Graph Visual Question Answering
...The project introduces a new paradigm called graph visual question answering that structures reasoning about driving scenes through interconnected tasks such as perception, prediction, planning, and motion control. Instead of treating autonomous driving as a purely sensor-driven pipeline, DriveLM frames it as a reasoning problem where models answer structured questions about the environment to guide decision making. The system includes DriveLM-Data, a dataset built on driving environments such as nuScenes and CARLA, where human-written reasoning steps connect different layers of driving tasks. ... -
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react-use
Component for React
...Tracks state of a CSS media query. Tracks state of connected hardware devices. Returns a callback, which re-renders component when called. Tracks state of device's motion sensor. Tracks state of mouse position. Tracks deltaY of scrolled mouse wheel. Provides way to read, update and delete a cookie. Tracks the state of browser's network connection. Query permission status for browser APIs. -
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SLAM in Autonomous Driving Book
SLAM Technology in Autonomous Driving
SLAM in Autonomous Driving Book is the open-source code companion to the book SLAM in Autonomous Driving. It focuses on localization and mapping systems that combine LiDAR, IMU, GNSS, and vehicle motion data. The material begins with geometry, kinematics, Kalman filtering, inertial navigation, preintegration, and graph optimization. It then implements point-cloud processing, nearest-neighbor structures, ICP, NDT, scan matching, occupancy grids, and loop closure. Readers build both loosely... -
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ImageBind
ImageBind One Embedding Space to Bind Them All
...The model is trained using large-scale contrastive learning, leveraging diverse datasets from natural images, videos, audio clips, and sensor data. Once trained, it can perform cross-modal retrieval, zero-shot classification, and multimodal composition without additional fine-tuning. -
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planoMetrix
Corrects scanner distortions using a reference scan for realignment.
PlanoMetrix improves scan accuracy by correcting distortions caused by sensor motion mechanics and paper transport irregularities in flatbed and document feeder scanners. Many scanners introduce periodic errors and inconsistencies in horizontal scaling, leading to distortions in scanned documents. The software works in two phases: Reference Scan: A graph paper (e.g., millimeter paper) is scanned to determine alignment parameters. -
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Direct LiDAR-Inertial Odometry
A new lightweight LiDAR-inertial odometry algorithm
DLIO is a new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction. It features several algorithmic improvements over its predecessor, DLO, and was presented at the IEEE International Conference on Robotics and Automation (ICRA) in London, UK in 2023. -
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LSTMs for Human Activity Recognition
Human Activity Recognition example using TensorFlow on smartphone
LSTM-Human-Activity-Recognition is a machine learning project that demonstrates how recurrent neural networks can be used to recognize human activities from sensor data. The repository implements a deep learning model based on Long Short-Term Memory (LSTM) networks to classify physical activities using time-series data collected from wearable sensors. The project uses the well-known Human Activity Recognition dataset derived from smartphone accelerometer and gyroscope signals. Through the use of sequential neural network architectures, the system learns patterns in motion data that correspond to activities such as walking, sitting, standing, or climbing stairs. ... -
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XIVO
X Inertial-aided Visual Odometry
XIVO is an open-source repository for visual-inertial odometry/mapping. It is a simplified version of Corvis [Jones et al.,Tsotsos et al.], designed for pedagogical purposes, and incorporates odometry (relative motion of the sensor platform), local mapping (pose relative to a reference frame of the oldest visible features), and global mapping (pose relative to a global frame, including loop-closure and global re-localization, this feature, present in Corvis, is not yet incorporated in XIVO). XIVO runs at 140FPS on stored data (here from a RealSense D435i sensor) or on live streams with a latency of around 1-7ms, depending on the hardware. ... -
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STEAM game
Arduino project, game STEAM test with record
...The questions will be about each of the STEAM areas and a list will show the students who obtained the most points. In principle, the entire system must be powered by a photovoltaic panel and a battery. But it can be connected to a microusb charger. A motion sensor will allow the system to wake up. It will have touch sensors and LCD screens. It will also have a led array and a speaker to animate the game a bit. -
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Activity Recognition
Resources about activity recognition
...The repository includes links to code in MATLAB, Python, summaries of algorithms, datasets, and relevant research papers. Feature extraction method summaries (e.g. motion, sensor, vision). Deep learning for activity recognition references. -
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UniRx
Reactive extensions for Unity
...Rx is a library for composing asynchronous and event-based programs using observable collections and LINQ-style query operators. The game loop (every Update, OnCollisionEnter, etc), sensor data (Kinect, Leap Motion, VR Input, etc.) are all types of events. Rx represents events as reactive sequences which are both easily composable and support time-based operations by using LINQ query operators. -
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FIND
High-precision indoor positioning framework for most wifi devices
Automate turning on lights with FIND by tracking the position of your phone indoorswith the FIND app. Track the location your laptop or embedded device in a small space using the FIND API. Monitor the location of many devices in a vicinity simultaneously using passive scanning. FIND attempts to simplify internal positioning. Internal positioning, simplified Using FIND, and only your smartphone or laptop, you will be able to pinpoint your position in your home or office. Unlike GPS on your... -
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FUBI
Full Body Interaction Framework
FUBI is a framework for full body interaction using a depth sensor such as the Microsoft Kinect with OpenNI/NiTE or the Kinect SDK. It further supports the Leap Motion Controller. FUBI is written in C++ and includes a C#-Wrapper. Releases are tested on Windows 8.1, but there also exist Linux Code::Blocks project files. Fubi's main functionality is gesture and posture recognition according to four gesture categories: 1. -
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YEI 3-Space Motion Capture Studio
A motion capture application utilizing the YEI 3-Space Sensor family.
The YEI 3-Space Mocap Studio is an open source motion capture application that uses the YEI 3-Space Sensor™ units. The interface is similar to other motion capture applications (e.g. Blender), but is more convenient in getting started with the 3-Space Sensor units since the application was created for them. It automatically searches for 3-Space Sensor units already in use by the computer on start-up of the application and can load in previous sessions that saved off 3-Space Sensor information. ... -
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LeapInto
Simplified interface to Leap Motion designed for art and music apps
LeapInto provides a simplified interface to the Leap Motion hand sensor input device. Multiple hand recognition is simplified to several stable categories and coordinates are normalised. The interface comes two flavours at present, an open broadcast system using the OSC protocol and a plugin for the Csound audio/music programming language. -
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yieldbuddy
yieldbuddy - an Arduino and Raspberry Pi based Environment Controller
yieldbuddy is an open source hydroponics controller for your indoor or outdoor grow. The Arduino sends multiple serial messages a second containing information like sensor values, relay on/off states, manual/auto modes, etc. The web interface (hosted by the Raspberry Pi running Apache2 and PHP5), allows you to login to the page and from there you can see graphs of all your sensors, their current values, whether or not your equipment is on/off (relay states), your web camera, etc. The... -
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Firmware, Receiver software and Hardware design for the Bowsense motion sensor interface. The received data stream can be converted to OSC packets, and distributed to OSC enabled realtime music applications.
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WebCams.py : video motion detection, remote HTTP monitoring (http video streaming), FTP upload, mail snaphosts,I2C temperature sensor. It is also planned to be able to start video recording with external signals, activate camera ZOOM and X/Y controls.
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KinectA
Software for motion tracking (skeletons, objects, hands) via Kinect!
KinectA is an application for motion tracking via Kinect Sensor – including hand, skeleton and object tracking. This software has been developed for the needs of media artists and designers. It provides a clearly arranged interface with multiple functionalities. The tracked information can be send via OSC to other hard- and software. KinectA is available for Mac and Windows.
