Articles

Workout Tracking With Your App in the Background

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It can be so frustrating to lose track of a workout because the fitness app has stopped running in the background. It happens when you turn off the screen or have another app in the front to listen to music or watch a video during the workout. Talk about all of your sweat and effort going to waste!

Fitness apps work by recognizing and displaying the user’s workout status in real time, using the sensor on the phone or wearable device. They can obtain and display complete workout records to users only if they can keep running in the background. Since most users will turn off the screen, or use other apps during a workout, it has been a must-have feature for fitness apps to keep alive in the background. However, to save battery power, most phones will restrict or even forcibly close apps once they are running in the background, causing the workout data to be incomplete. When building your own fitness app, it’s important to keep this limitation in mind.

Source de l’article sur DZONE

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EdgeX Foundry on K3s (Part 2): The Initiation

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In the first part of this series, we have seen all the pre-requisites that are needed to proceed with the hands-on. We will extend the EdgeX Foundry tutorial by Jonas Werner and deploy the EdgeX Foundry services on K3s. We have already learned that K3s will be a good lightweight solution to manage and orchestrate the EdgeX microservices. We will use the Geneva version of EdgeX Foundry.

The scope of this post is to demonstrate an Edge use case that will consume the sensor data e.g. ambient temperature. This sensor data will then be processed by EdgeXFoundry services hosted on K3s. This sensor data will be pushed to a cloud-based MQTT broker called HiveMQ. From here, the data can be stored and processed in the cloud. The configurations and manifests used in these posts are available in this repository.

Source de l’article sur DZONE

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IoT for Around the House: Sensors, MongoDB, and REST API on Onesait Platform (Part 3)

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And so we arrive to the third and -for now- last entry in our adventure about connecting a sensor at home and sending the measurements to the Onesait Platform.

In the first entry, we saw how to choose the working environment and set up both the ontology and the API service to ingest the data. In the second part, I told you how to hook the cables between the boards, how to configure the Arduino IDE to work, how to write the code that collects and sends the measurements to the Platform, and how to see that it was indeed received correctly.

Source de l’article sur DZONE

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This edible sensor could help keep food fresh

 

Making sure fresh food is kept at the right temperature during transit is a harder problem than one might think — but the Swiss are on the job. Not only did they create robo-fruit to mix in with the real ones, but another research team has created a biodegradable temperature sensor that sticks to food all the way from its starting point to the inside of your mouth.

You can do that right now, in a way, with RFID tags and so on — but those tags use metals that aren’t recommended for eating, and may even be poisonous. The solution arrived at by Giovanni Salvatore, a researcher at ETH Zurich, is to make an ultra-thin sensor out of materials that a human can digest safely.

Lire la suite…. sur TechCrunch  Source : http://ift.tt/2fwOcDy

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