MetaWear

MetaWear

by MBIENTLAB Inc.

0 ratings
1 review
Free

Details

  • Released
  • Updated
  • January 21, 2021
  • December 14, 2021
MetaWear screenshot #1 for iPhone
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About

Stream sensor data from MetaWear BLE sensor boards. This platform provides a comprehensive solution for building wearable devices and collecting sensor information.

βœ“Stream sensor data
βœ“MetaWear BLE sensor board compatibility
βœ“Build wearable devices
βœ“Gather sensor data
βœ“Complete platform solution
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What's New in MetaWear

2.0.1

December 14, 2021

Support for the magnetometer!

User reviews

Not starting on iPhone SE 2nd Gen

Hangs on app logo screen

Developer apps

FAQ

What is MetaWear?

MetaWear is a platform designed for building wearable devices and collecting sensor data. It allows users to stream sensor data from MetaWear BLE sensor boards.

What devices does MetaWear support?

MetaWear is available on macOS, iPhone, iPad, and iPod. This broad compatibility ensures accessibility for various development environments.

How often is MetaWear updated?

The latest version of MetaWear is 2.0.1, released on December 14, 2021. While the last update was in late 2021, the platform provides a stable solution for its core functions.

Is MetaWear free to use?

Yes, MetaWear is available for free. There are no costs associated with downloading or using the application.

Does MetaWear have ads?

No, MetaWear does not contain advertisements. Users can stream sensor data without interruption from ads.

What is the age rating for MetaWear?

MetaWear has an age rating of 4+. This indicates it is suitable for a wide range of users, including younger individuals interested in technology.

What learning methodology does MetaWear employ?

MetaWear focuses on practical, hands-on learning through the development and data collection process. It enables users to learn by building and experimenting with wearable technology.

How does MetaWear track progress?

Progress tracking in MetaWear is primarily user-driven, based on the successful development of wearable prototypes and the analysis of collected sensor data. The platform facilitates experimentation and iterative development.