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Group Project - Emonar

Emonar is a audio emotion analystics app that understands decodes speakers emotion while one is speaking Beyond Verbal API. Video demo at here

Time spent: A lot of hours spent in total

User Stories

The following required functionality is completed:

  • User can record audio
  • User can see emotion analystics every 20 seconds in real time.
  • User can view past cached audio recording

The following optional features are implemented:

  • User can choose which part of audio to run emotion analystics
  • User can play all past saved audio recording
  • User can see the emotion analytics as well
  • User can edit the file name of the saved audio recording
  • User can use this for app-app call
  • User can use this for app-phone call

Problem needs to fix:

  • How to save the data for cells that haven't retrieved data from API
  • How to deal with the scenario that user record under the min record time span

Work Assignment:

  • Main-UI : Jintao Zeng
  • API-Integration : Gelei Chen
  • Recoding-IO : Zhen Chen

UI - Sketch

02/11:

Video Walkthrough

02/18 :

Video Walkthrough

The following additional features are implemented:

  • List anything else that you can get done to improve the app functionality!

Please list two areas of the assignment you'd like to discuss further with your peers during the next class (examples include better ways to implement something, how to extend your app in certain ways, etc):

Model Class/ Data Schema

  1. LoginToken:NSObject
  2. access_token:String
  3. token_type:String
  4. expires_in:NSNumber
  5. User:NSObject
  6. session:String
  7. username:String
  8. password:String
  9. Analysis:NSObject
  10. recordingId:String
  11. result:Analysis_result
  12. status:String
  13. Analysis_result:NSDictionary
  14. analysisSegments:Analysis_result_analysisSegments
  15. analysisSummary:NSDictionary
  16. duration:String
  17. sessionStatus:String
  18. Analysis_result_analysisSegments:NSDictionary
  19. analysis:NSDictionary
  20. duration:NSNumber
  21. offset:NSNumber

Video Walkthrough

Here's a walkthrough of implemented user stories:

API Integration

Video Walkthrough

# Single Audio File I/O

Video Walkthrough

# UI Progress

Video Walkthrough

# Finished Version

Video Walkthrough

GIF created with LiceCap.

Notes

Describe any challenges encountered while building the app.

License

Copyright [2016] [Ideafamily]

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.

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A real time audio emotion analystics iOS app

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