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Android Wear App Transforming Motion Sensor Data into Meaningful Metrics (Tennis Version)

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ProprioCollect

Copyright 2016 Proprio Labs

Installation

Clone the following repositories

git clone https://github.com/proprioadmin/proprio-android-wear
git clone https://github.com/mattgroh/proprio-motion-classification
git clone https://github.com/proprioadmin/proprio-data-server

Install ElasticSearch

brew install elasticsearch17

Install Android Studio

Download Android Studio at http://developer.android.com/sdk/index.html. Next, update all SDK tools in Android Studio

Specify server path

For local development, find your inet localhost configuration with the following line in the terminal

ifconfig | grep -Eo 'inet (addr:)?([0-9]*\.){3}[0-9]*' | grep -Eo '([0-9]*\.){3}[0-9]*' | grep -v '127.0.0.1'

Modify proprioapp/mobile/src/main/res/values/strings.xml and change data_server and analysis_server and enter your inet localhost configuration.

Credentials

Make sure to update credentials in the strings.xml folder in the mobile and wear app. This includes Fabric, Twitter, Facebook, and Open Weather Maps

Syncing Wirelessly Connected Watches

Load ProprioApp to phone/watch from Android Studio. If you're having trouble with loading the app onto the Android wear use the following two commands

adb forward tcp:4444 localabstract:/adb-hub

adb connect localhost:4444

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Android Wear App Transforming Motion Sensor Data into Meaningful Metrics (Tennis Version)

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