Back to Top Mostofi-Lab Repository

Welcome to our repository! Here, you can find our released data sets, codes, and other resources.

Below are the research subjects covered in this repository. Click on a subject for a detailed list of available resources.

Paper Repository for Human-Robot Collaboration

Code and Data for Predicting Human Visual Performance

Data and Codes for Converting Vision Data (Video Footage) to RF Signals

WiFi RSSI Data for Through-Wall Imaging

Wireless Channel Measurements

Wireless Channel Simulator

Data and Codes for Converting Video Footage to RF signals


Data and Codes for Converting Video Footage to RF Signals
This link contains the code and sample data files for converting vision data (a video footage) to RF signals, an approach that can enable training RF sensing systems without collecting any RF training data, and by solely using the available online videos of related activities, as we have shown in our IMWUT20 paper.

Paper Repository on Human-Robot Collaboration


Paper repository on human-robot collaboration
This repository contains a comprehensive list of papers on various aspects of human-robot collaboration. This repository is updated regularly.

Code and Data for Predicting Human Visual Performance


Code and data for predicting human visual performance
This link contains the code and data for predicting human visual performance, which was used in our RSS16 paper.

WiFi RSSI Data for Through-Wall Imaging


Data set for imaging using WiFi RSSI
This link contains WiFi RSSI measurements collected by robots outside of an unknown area that needs to be imaged.

Wireless Channel Measurements


Wireless channel measurements data
This link contains WiFi RSSI measurements collected by robots outside of an unknown area that needs to be imaged.

Wireless Channel Simulator


Codes for simulating wireless channels
This link contains our codes for generating realistic wireless channels in 2D. The provided wireless channel simulator can generate simulated 2D wireless channels by properly modeling the three underlying dynamics of a wireless channel, which are path loss, shadowing and multipath fading.