Search Results for "accelerometer"
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Showing 37 open source projects for "accelerometer"
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1
Watchy
An open source E-ink smartwatch
...It is a unique timepiece that is also a wearable development platform, allowing users to create their own experience. Ultra-low-power e-paper 1.54″ display with 200 x 200 resolution and wide viewing angle. Wi-Fi & Bluetooth LE connectivity. 3-axis accelerometer with gesture detection. Real-time clock for accurate timekeeping with calendar and alarm functions. Built-in USB-to-serial adapter for programming on the go. Watchy comes with comprehensive documentation and Arduino code examples that demonstrate every hardware feature. New watch faces and examples are regularly added. -
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HedgeCam 2
Advanced camera app for Android
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3
CrossBrowdy
JavaScript framework to build game engines, games, emulators and apps
...This framework allows any developer to manage easier many different things, such as audio (with Flash fallback, audio pool, etc.), canvas (with DHTML, VML, Flash or Silverlight fallbacks), screen, mouse, keyboard, gamepads, sockets (including PHP proxy fallback), XHR / AJAX (with PHP proxy for cross-domain requests), device sensors (compass / magnetometer, gyroscope, accelerometer, light sensor, proximity sensor...) and many more. -
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Gait Tracking With x-IMU
Foot tracking algorithm demonstrated in Seb Madgwick's 3D Tracking
...The repo is marked “no longer maintained,” and has been superseded by newer versions of Gait-Tracking. Capability to compare walking trajectories in experiments. Integration of IMU data (accelerometer + gyroscope). -
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5
LSTMs for Human Activity Recognition
Human Activity Recognition example using TensorFlow on smartphone
...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. The repository includes data preprocessing scripts, neural network architecture definitions, and training pipelines that allow researchers to reproduce and modify the experiments. ... -
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activAnalyzer is a Shiny app that has been developed to analyze daily physical behavior data recorded at the hip in adults using an ActiGraph accelerometer (.agd file from a GT3X, GT3X+, wGT3X+ or wGT3X-BT device). Once analysis is completed, the app allows exporting results to .csv files and generating a report of the measurement (in either an .html format or a .pdf format). All the configured inputs relevant for interpreting the results are recorded in the report. Be sure that the inputs that are configured when generating the report correspond to the analysis that was actually performed (in other words, avoid modifying the inputs after generating satisfactory results). ...
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7
DualSenseX
Connect your DualSense Controller, use Adaptive Triggers
...The application allows gamers to tailor every aspect of their controller experience, including adaptive trigger behavior, haptic intensity, and light bar customization, which empowers users to fine-tune feedback to match the feel of their favorite games. It also provides real-time battery monitoring, gyro/accelerometer calibration, and remappable button layouts, giving players hardware flexibility usually reserved for premium third-party software. DualSenseX works with both Bluetooth and USB connections, automatically detecting compatible controllers and maintaining stable input even during intense gaming sessions. Additionally, it includes profiles and presets so users can save and switch configurations quickly for different games or genres. -
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Redmi 10 Selene
Redmi 10 Selene CustomROM
...Device specifications Basic Spec Sheet OS Android 11, MIUI 12.5 CPU Octa-core (2x2.0 GHz Cortex-A75 & 6x1.8 GHz Cortex-A55) Chipset MediaTek Helio G88 (12nm) GPU Mali-G52 MC2 Memory 4GB/6GB RAM Storage 64GB/128GB MicroSD microSDXC (dedicated slot) Battery Non-removable Li-Ion 5000 mAh battery Resolution 1080 x 2400 pixels, 20:9 ratio (~405 ppi density) Camera (Rear) 50 MP, f/1.8, (wide),8 MP, f/2.2, 120˚ (ultrawide),2 MP, f/2.4, (macro),2 MP, f/2.4 (depth) Rear Camera Features LED flash, HDR, panorama Video 1080p@30fps Camera (Front) 8 MP, f/2.0, (wide) Features Fingerprint (side-mounted), accelerometer, proximity, compass Device picture Redmi 10 -
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Kalibr Allan
IMU Allan standard deviation charts
kalibr_allan is a utility repository that provides scripts and tools for calculating IMU noise parameters for use in Kalibr and other IMU filtering systems. While manufacturers typically provide “white noise” values in IMU datasheets, the bias instability and random walk parameters must be determined experimentally. This project enables users to compute those values using Allan variance analysis from recorded IMU data. The workflow involves recording IMU measurements with the device... -
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10
iwattnick
iWattnick: the ultimate e-bike computer
iWattnick aims to be a top-class computer for e-bikes, e-scooters, e-motorcycles. It is equipped with a large B/W screen, two buttons, accelerometer, magnitometer, current and voltage sensors, light sensor, internal temperature sensor, battery-backed real-time clock, a buzzer and has connection ports for external speed sensor (motor Hall, phase or reed switch), a Bluetooth SPP dongle, up to three temperature sensors (TMP36, LM35, KTY83 etc), cadence sensor, throttle handle, output to controller throttle input. ... -
11
Astroberry
Astroberry provides INDI drivers for various Raspberry Pi devices
...Astroberry provides INDI drivers for Raspberry Pi devices such us Astroberry Focuser - stepper motor driver with autospeed feature, Astroberry GPS - GPS driver for scope location and time synchronization, Astroberry AltIMU - accelerometer, magnetometer, gyro, atmospheric pressure sensor driver, Astroberry Board - power switch board allowing for remote powering on/off up to 4 devices. -
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Attitude Estimator
A C++ implementation of a nonlinear 3D IMU fusion algorithm.
Attitude Estimator is a generic platform-independent C++ library that implements an IMU sensor fusion algorithm. Up to 3-axis gyroscope, accelerometer and magnetometer data can be processed into a full 3D quaternion orientation estimate, with the use of a nonlinear Passive Complementary Filter. The library is targeted at robotic applications, but is by no means limited to this. Features of the estimator include gyro bias estimation, transient quick learning, multiple estimation algorithms, tuneable estimator parameters, and near-global stability backed by theoretical analysis. ... -
13
This is an Arduino library for the multifunctional accelerometer MPU6050. Open the realm.txt from the .zip file for a detailed tutorial on how to use it !!
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14
Pistol for Android Devices
Shake your android phone and shoot!
shake your android phone and it will shoot a bullet! -
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Lutrin Digital is a french project maintained by iTrames. Lutrin Digital aims to become an open source multi touch graphical user interface coded in AS3. http://lutrindigital.cc
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Varnam Q3 and Raspberry Pi
Integrating a Varnam Q3 motion sensing remote control and Raspberry Pi
Varnam Q3 is a motion sensing game console, it comes with a wireless remote control which has a built-in 3 axis accelerometer and DPads. This project provides with you the Java API and a working JNI code in C for Raspberry Pi to talk with a NRF24L01 module, which you can use it as a base to integrate this remote to any other hardware. For this remote control to be used in any other project all you need is a NRF24L01 break out board connected to a micro controller. -
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Platform providing the support for Wireless Sensor Networks in the domain of Natural Hazards as a Service. The objective of the WSN platform is monitoring the behaviour of rockfall barriers, rockfall netting, rock sheds and other protection systems
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18
Gait Monitoring +
Calculates NPA PPA of a human gait based on input of data
The purpose of developing Gait Monitoring+ software system is to calculate the average acceleration cycle of all cycles of an experiment, and also to calculate the positive peak acceleration (PPA) and the negative peak acceleration (NPA). The experiment is performed by attaching triaxial accelerometer device to the tibia bone of a person who is walking on a Treadmill. Raw data obtained by the experiment is input data for Gait Monitoring+ system. The software gets the data from the user, processes the data and extracts time and acceleration values of Y-axis in a text file. It recognizes the start of a cycle and the end of a cycle of each cycles. ... -
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android file manager
motion controlled file manager using accelerometer
motion controlled file manager using accelerometer -
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Bluetooth MeyMouse Accelerometer camera
J2me Accelerometer Camera light based over Bluettooth over mobile
J2me Accelerometer Camera light based over Bluettooth over mobile phone (Turn Your Old j2me Phone become slick accelerometer camera based MOUSE over bluetooth great for develope accelerometer camera based game Zzzzzzzz -
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TI Chronos .NET dll, C# example
C# example of using eZ430 Chronos .Net dll
This is the simple example of using .NET dll library for Texas Instruments Chronos watch (written by Tobias Gartner (https://sourceforge.net/projects/ez430chronosnet/) to acquire buttons and accelerometer data in ACC / PPT mode. The main idea came from VB code by Angel Hernandez (http://www.tupperbot.com). Hopes that one would be helpful for C# developers. Created in Visual Studio 2010 Express, tested under 32 bin WinXP and eZ430 Chronos Development Tool. -
22
Inferno
2D Graphics Library
...Developers can easily create their own components using the apis provided. It's built in high perf engine also capable of complicated graphic processing and propagating events from UI thread as well as other sources (accelerometer...). The engine also enables developer to queue sub processes which can be run synch on Asynch. -
23
Bioband
Continuous waveform accelerometer project
We aimed to design an accelerometer device which was capable of collecting raw data in high time resolution (>30Hz) over 7 days, to be worn by human volunteers during daily life conditions. The materials include hardware design files for electronics and casing, as well as firmware and software source code. -
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This project is to develop IDE for NintedoDS homebrew SW. (Eclipse based IDE, FreeRTOS running on Nintendo DS, wifi download + usb download, remote debugging and 3D accelerometer with hardware adapter)
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A Crossplatform OpenGl Gui for a Accelerometer (via USART/Atmega).
