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aware-server's Introduction

aware-server

AWARE Server Dashboard

Copyright (c) 2014 AWARE Mobile Context Instrumentation Middleware/Framework (http://www.awareframework.com)

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

AWARE Framework Client source code (http://awareframework.com)

AWARE is an Android framework dedicated to instrument, infer, log and share mobile context information, for application developers, researchers and smartphone users. AWARE captures hardware-, software-, and human-based data. The data is then analyzed using AWARE plugins. They transform data into information you can understand.

Individuals: Record your own data

No programming skills are required. The mobile application allows you to enable or disable sensors and plugins. The data is saved locally on your mobile phone. Privacy is enforced by design, so AWARE does not log personal information, such as phone numbers or contacts information. You can additionally install plugins that will further enhance the capabilities of your device, straight from the client.

Scientists: Run studies

Running a mobile related study has never been easier. Install AWARE on the participants phone, select the data you want to collect and that is it. If you use the AWARE dashboard, you can request your participants’ data, check their participation and remotely trigger mobile ESM (Experience Sampling Method) questionnaires, anytime and anywhere from the convenience of your Internet browser. The framework does not record the data you need? Check our tutorials to learn how to create your own plugins, or just contact us to help you with your study! Our research group is always willing to collaborate.

Developers: Make your apps smarter

Nothing is more stressful than to interrupt a mobile phone user at the most unfortunate moments. AWARE provides application developers with user’s context using AWARE’s API. AWARE is available as an Android library. User’s current context is shared at the operating system level, thus empowering richer context-aware applications for the end-users.

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aware-server's Issues

No aware_device table created

Hello everyone,

I have set up aware-server in my local computer (macOS) and using an iOS app as a client. It works well. The data from my registered sensors have been sent to my server and save it nicely. However, the dashboard does not show any Devices and I have realized that there is no aware_device table created.

Screen Shot 2020-07-10 at 11 38 46 AM

Thank you very much for your help!

Not redirecting to auth php file

I was debugging the PHP code and found that in dashboard.php the following line of code causing the problem

redirect(base_url('index.php/auth'))

The redirection happens to the and URL changes in the browser ( https://mydomain/e/index.php/auth) but there is nothing after that. When I printed a text before it and returned from the function, the text is shown in the browser. The code snippet which I tried:

print 'Inside dashboard.php'
return;
redirect(base_url('index.php/auth'))

But when I debugged inside auth.php and print anything, it was never shown. This leads to the conclusion that the auth.php file is not called.

Any ideas on what could be the reason behind this behavior.

Server version: Apache/2.4.7 (Ubuntu)

Random number of records on the server's list

I have the latest version of the server along the latest one of the client. Every time I refresh the study general view page, the number of records for high frequency sensors changes randomly (i.e. the accelerometer records can be 5,020 and then change to 3,982). I only have one device joined to the study and it is collecting accelerometer, battery, wifi and a custom plugin which has a similar refresh rate as the accelerometer. All the other non-intensive sensors and aware info tables are stable and constant.

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