choose_adaptive_words
This package contains a set of nodes that are used to get user handwriting input and adapt the next word to the skills of the user
Tested with ROS Indigo on Ubuntu 16.04 (LTS)
Install & Compile:
$ cd ~/catkin_ws/src/
$ git clone https://github.com/chili-epfl/choose_adaptive_words.git
$ cd ../
$ catkin_make
Requierments:
See CoWriter project requirements
Provided functionalities:
In ./nodes
run python activity.py
to launch the writing app.
The main node that opens two windows, one for writing the other one to manage the parameters
- Change the Simple Learning Pace (0,100)
- TODO : use PCA
- TODO : use CNN
- TODO: use adapt thibolt
Letters dataset configuration
The launch argument choose_adaptive_words
For instance, for a specific experiment, this way:
$ roslaunch choose_adaptive_words [...other options]
TODO
- Remove Federer Button (be able to change to adaptive mode or regular mode with a threshold we could set
- Clean screen just after the we send a new word
- Make a "real" eraser, select the zones to clean
- makenao look at tablet
- check arms
- make the path of the robot editable by the kid