There are 13 repositories under accelerometer topic.
Klipper streamlined input shaper workflow and calibration tools
Parser for GPMF™ formatted telemetry data used within GoPro® cameras.
:rocket: These are android sample projects which are written in Kotlin. It covers video streaming, mp3 player, sqlite, location services, custom camera, o-notifications, simple compass etc.
MPU6050 Arduino Library
Android app which let you stream various phone's sensors to websocket clients
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
Drivers for InvenSense inertial measurement units MPU9250, MPU9150, MPU6050
Arduino library for easy communication with MPU6050
The most simple, but working, quadricopter flight controller from scratch, using Arduino Uno/Nano.
IIO accelerometer sensor to input device proxy
SPI master and SPI slave for FPGA written in VHDL
Program for reading data from the Pololu MinIMU-9 over I²C. Works on the Raspberry Pi and other embedded ARM Linux boards.
Application for camera and sensor data logging (iOS)
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
Git repository for the Balanduino balancing robot
Hoverboard sideboard hack for GD32 boards
Low level Linux camera driver for the ZED USB3 stereo cameras. API docs available here:
Android Sensor Orientation Library helps you to get more accurate vector values of orientation, using all available device sensors.
Calibration procedure for the MPU9250's accelerometer, gyroscope, and magnetometer using Python and a Raspberry Pi Computer
Core Motion in iOS using Swift
iOS app for collecting data from internal motion sensors (gyroscope, magnetometer, accelerometer) of iPhone and Apple Watch.
MPU6050/9250 I2C and SPI interface. Sensor fusion using a complementary filter yields sensor Euler angles and is implemented in five different languages.
A collection of modules and examples for MicroPython.
Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.
A library for arduino to read value of MPU9250.
Accelerometer-based pedometer algorithm for embedded applications
Package for analyzing human motion data (e.g. PA, gait)