3 Works

CRAWDAD dataset cmu/zigbee-smarthome (v. 2020-05-26)

Dimitrios-Georgios Akestoridis, Madhumitha Harishankar, Michael Weber & Patrick Tague
This Carnegie Mellon University dataset contains Zigbee packets that were captured using a software-defined radio (USRP N210). More specifically, the contributors used GNU Radio with the gr-ieee802-15-4 and gr-foo modules to receive IEEE 802.15.4 packets and store them in PCAP format. The captured network traffic was generated from ten commercial Zigbee devices that can be found in smart home environments. Eight experiments were conducted that differed in the smart hub that was used and the...

CRAWDAD dataset tum/proximityness (v. 2020-02-18)

Michael Haus, Aaron Yi Ding & Jörg Ott
We conducted a study with 126 subjects, over three months, collecting data from various sensors, that resulted in a multimodal dataset for co-presence detection. We publish a subset of the original data set in the period between 01.06.2018 and 15.06.2018 including Wi-Fi scans as proximity verification set, magnetometer as sensor data, the positions of Wi-Fi access points, and magnetometer's sensor hardware. This study has been published at IEEE PerCrowd 2020, M. Haus, A. Y. Ding,...

CRAWDAD dataset tuda/ubicompzis (v. 2020-04-08)

Mikhail Fomichev, Max Maass, Lars Almon, Alejandro Molina & Matthias Hollick
The dataset contains 10 types of context information (i.e., audio, restricted access, Wi-Fi and Bluetooth Low Energy (BLE) beacons, barometric pressure, humidity, luminosity, temperature, accelerometer, gyroscope, and magnetometer) collected by multiple devices in three scenarios: car, office, and mobile. The collected context information is used to evaluate the performance of five zero-interaction pairing or authentication schemes ;the results of this evaluation are also part of the dataset. Institution that owns the data: TU Darmstadt

Registration Year

  • 2020

Resource Types

  • Dataset