Skip to content

KAIST-NMAIL/Single2Multi_LOMP

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Single2Multi_LOMP

Single to Multi: Data-Driven High Resolution Calibration Method for Piezoresistive Sensor Array

Code

This repository contains the code for model introduced in IEEE Robotics and Automation Letters [paper] (https://ieeexplore.ieee.org/document/9394718).

Prerequisites

It requires that you download the data from [(coming soon)]. or contact authors for multi-touch dataset. (We append a sampled single touch dataset that can be used to train our model)

conda create -n LoMP python=3.6
pip3 install torch torchvision torchaudio
conda install 
pip install -U scikit-learn
pip install pandas
pip install matplotlib

Next, make sure to update the path to where you sotred the data in train_test_.py file

Run training

With running train_test_passing_single_new.py file, you can simply type

python train_test_passing_single_new.py

This loads a single touch dataset to train and test our dataset.

testing for multi touch dataset

Before you run the code, please make sure that you uncomment double touch loading code in train_test_passing_single_new.py file. Since the volume for multi touch dataset is huge, please make a contact or access NMAIL database to download the multi-touch dataset.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%