update structure

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2019 Alex (Zhipian) Zhang
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -1,13 +1,12 @@
 # Visual Eyes
 
-**Powered by Azure Cognitive Services, ARKIT2 and Firebase**
+**Powered by Azure Cognitive Services, ARKit2 and Firebase**
 
-Eye-tracking and emotion prediction of user's reaction to marketing materials. Dynamically store user's picture and reaction data at backend. Proof of concept at _BizHacks_. 
+Eye-tracking and face analysis in AR, for recording user's focus and predicting user's geographics and emotion when reading marketing materials. Dynamically store analysis results at backend. Proof of concept at _BizHacks_. 
 
-**First Place**, *Best Buy Price Winner* out of 400+ people.
+**First Place**, *Best Buy Best Hacks* out of 400+ people.
 
-<!--[![Visual Eyes](https://img.youtube.com/vi/ALl_-Kd7OM8/0.jpg)](https://www.youtube.com/watch?v=ALl_-Kd7OM8)-->
-Video demo incoming</br>
+[![Visual Eyes](https://img.youtube.com/vi/dHPioO0KVxE/0.jpg)](https://www.youtube.com/watch?v=dHPioO0KVxE)
 
 *Click the image above to watch a demo*
 
@@ -16,7 +15,6 @@ Video demo incoming</br>
 <!--![Architecture](https://github.com/dandua98/MSNewsAR/blob/master/common/images/architecture.jpg)-->
 <!---->
 <!--*Architecture diagram drawn by [Mai Matsuhisa](https://github.com/MAIMAI728)*-->
-Architecture diagram incoming</br>
 
-The frontend tracks the user's eye tracing data, and calculate the coordinate of the point users are looking at on the plane. It is also taking a picture of users every 5 seconds, and uses Azure face detection APIs from
-cognitive services to predict user's age and emotion during the period. All the user data generated with the app are stored and uploaded to Firebase for future analysis and data visualization.
+The frontend tracks the user's eye tracing data, and calculate the coordinates of the points users are looking at on the plane. It is also taking a picture of users every 5 seconds, and uses Azure face detection APIs from
+cognitive services to predict users' age, sex and emotion during the period. All the user data generated with the app are stored and uploaded to Firebase for future analysis and data visualization.