Strongly accurate indoor positioning algorithms with the main focus on indoor navigation developed by Navigine company. Here we will step by step publish the source code of our algorithm starting with trilateration.

Cross-platform step counting for Unity Engine.

Accelerometer-based pedometer algorithm for embedded applications

Reactive mobile device sensors plugin for iOS, Android, & UWP. Support sensors - accelerometer, ambient light, barometer, compass, gyroscope, magnetometer, pedometer, and proximity

a android pedometer app (安卓计步器)

[리액트 네이티브 라이브러리] 사용자의 걸음 수를 계산합니다. Android는 StepCounter (or Accelerometer) 센서 API를, iOS는 CoreMotion CMPedometer 를 사용하여 걸음 수를 측정합니다.

SensorAndAi is an android application which will give you the complete information about all the sensors and some basic information about artificial intelligence.This application will tell you about the use and implementation of the sensor and artificial intelligence.This app will show you how sensor and artificial intelligence is used in any an…

This android application will give the number of steps taken by user.Activity value will reset to zero on a reboot.

Plugin.Maui.Pedometer provides the ability to read the device pedometer in your .NET MAUI application. This plugin currently only supports iOS and Android.

🐾 step count tracking plugin for your NativeScript app

Pedometer using iOS CoreMotion framework

This library provides a simple demo for realize a pedometer.

Native Android application that uses the acceleration sensor to count the users' steps.

Teacup Cactus is an iOS fitness app that encourages daily walking. The player sets personal walking goals and is rewarded with collectable items for consistently reaching those goals

iOS CMPedometer support for react-native

Let's count steps using CMPedometer

本科毕设：计步算法&APP实现

Device Sensors Notification Plugin for Xamarin, Tizen and Windows

Android App. Keeps track of diet, sleep, weight. Can show nearby hospitals(GPS required)

collected real time walking data(patterns) with gyroscope, use Fast Fourier Transformation to extract the clustering features, and build the step counting algorithm for pedometer