<commit_before>![Alt text](images/signtalkerlogo.png)

##### [Department of Computer Science - University of Victoria](http://www.csc.uvic.ca/)
##### [CSC 485E + SENG 480B](https://heat.csc.uvic.ca/coview/outline/2016/Fall/CSC/485E), 2016, Fall Semester

### Idea Proposal

We are proposing a mobile app that will act as a tool to enable those in the deaf community to have a more dynamic communications with non-deaf people.  For those who are able to lip-read but are not capable of speech are limited to using text-to-speech functions.  This is a disengagement as the listener must wait for the finish typing out a sentence(s) on a mobile keyboard.  Our proposed solution is to use the camera on an Android device and existing gesture recognition and text-to-speech technologies to automatically translate the American Sign Language (ASL) alphabet into speech.

The user would place their hand a comfortable distance above the phone (for example, while the device lays flat on a table) with the app open.  Prior to that, they will have performed a set of calibration tests to customize the performance of the app to their hand.  They will fingerspell like normal and tap the phone screen once they finish a word.  The interpreted word is then fed through the Google Text Prediction API to remove false-positive results and feed to a text-to-speech API.  Thus, allowing the user to to communicate verbally in near real-time.

### Idea Proposal Video

https://youtu.be/yspqSYtJCss/cc_load_policy=1

### Members:

- <NAME> [<EMAIL>]
- <NAME> [<EMAIL>]
- <NAME> [<EMAIL>]
- <NAME> [<EMAIL>]
- <NAME> [<EMAIL>]

### SignTalker contact email:

- <EMAIL>

### Meetings:

-  [Meeting 1](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting1.md)
-  [Meeting 2](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting2.md)
-  [Meeting 3](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting3.md)
-  [Meeting 4](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting4.md)
-  [Meeting 5](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting5.md)
-  [Meeting 6](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting6.md)
-  [Meeting 7](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting7.md)
-  [Meeting 8](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting8.md)
-  [Meeting 9](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting9.md)
-  [Meeting 10](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting10.md)
-  [Meeting 11](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting11.md)
-  [Meeting 12](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting12.md)
-  [Meeting 13](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting13.md)


### [ASL Contact Information](https://github.com/TaniaFerman/SignTalker/blob/master/docs/findingASLusers.md)

### [ASL Interpreters](https://github.com/TaniaFerman/SignTalker/blob/master/docs/ASLInterpreters.md)


<commit_msg>README file modification<commit_after>![Alt text](images/signtalkerlogo.png)

##### [Department of Computer Science - University of Victoria](http://www.csc.uvic.ca/)
##### [CSC 485E + SENG 480B](https://heat.csc.uvic.ca/coview/outline/2016/Fall/CSC/485E), 2016, Fall Semester

### Idea Proposal

We are proposing a mobile app that will act as a tool to enable those in the deaf community to have a more dynamic communications with non-deaf people.  For those who are able to lip-read but are not capable of speech are limited to using text-to-speech functions.  This is a disengagement as the listener must wait for the finish typing out a sentence(s) on a mobile keyboard.  Our proposed solution is to use the camera on an Android device and existing gesture recognition and text-to-speech technologies to automatically translate the American Sign Language (ASL) alphabet into speech.

The user would place their hand a comfortable distance above the phone (for example, while the device lays flat on a table) with the app open.  Prior to that, they will have performed a set of calibration tests to customize the performance of the app to their hand.  They will fingerspell like normal and tap the phone screen once they finish a word.  The interpreted word is then fed through the Google Text Prediction API to remove false-positive results and feed to a text-to-speech API.  Thus, allowing the user to to communicate verbally in near real-time.

### Interactive Prototype

https://projects.invisionapp.com/share/S49501VVU#/screens/201079137

### Members:

- <NAME> [<EMAIL>]
- <NAME> [<EMAIL>]
- <NAME> [<EMAIL>]
- <NAME> [<EMAIL>]
- <NAME> [<EMAIL>]

### SignTalker contact email:

- <EMAIL>

### Meetings:

-  [Meeting 1](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting1.md)
-  [Meeting 2](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting2.md)
-  [Meeting 3](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting3.md)
-  [Meeting 4](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting4.md)
-  [Meeting 5](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting5.md)
-  [Meeting 6](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting6.md)
-  [Meeting 7](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting7.md)
-  [Meeting 8](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting8.md)
-  [Meeting 9](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting9.md)
-  [Meeting 10](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting10.md)
-  [Meeting 11](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting11.md)
-  [Meeting 12](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting12.md)
-  [Meeting 13](https://github.com/TaniaFerman/SignTalker/blob/master/meetings/Meeting13.md)


### [ASL Contact Information](https://github.com/TaniaFerman/SignTalker/blob/master/docs/findingASLusers.md)

### [ASL Interpreters](https://github.com/TaniaFerman/SignTalker/blob/master/docs/ASLInterpreters.md)



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