Code Sample: Home Fall Tracker in JavaScript*

Introduction

This home fall tracker application is part of a series of how-to Internet of Things (IoT) code sample exercises using the Intel® IoT Developer Kit, Intel® Edison development platform, cloud platforms, APIs, and other technologies.

From this exercise, developers will learn how to:

  • Connect the Intel® Edison development platform, a computing platform designed for prototyping and producing IoT and wearable computing products.
  • Interface with the Intel® Edison platform IO and sensor repository using MRAA and UPM from the Intel® IoT Developer Kit, a complete hardware and software solution to help developers explore the IoT and implement innovative projects.
  • Run this code sample in Intel® XDK IoT Edition, an IDE for creating applications that interact with sensors and actuators, enabling a quick start for developing software for the Intel® Edison board or the Intel® Galileo board.
  • Set up a web application server to store fall data using Azure Redis Cache* from Microsoft Azure*, Redis Store* from IBM Bluemix*, or ElastiCache* using Redis* from Amazon Web Services* (AWS), different cloud services for connecting IoT solutions including data analysis, machine learning, and a variety of productivity tools to simplify the process of connecting your sensors to the cloud and getting your IoT project up and running quickly.
  • Set up a MQTT-based server using IoT Hub* from Microsoft Azure*, IoT from IBM Bluemix*, or IoT from Amazon Web Services (AWS)*, different cloud machine to machine messaging services based on the industry standard MQTT protocol.
  • Invoke the services of the Twilio* API for sending text messages.

This article continues here on GitHub.

Para obtener información más completa sobre las optimizaciones del compilador, consulte nuestro Aviso de optimización.