CRAWDAD tum/proximityness

Citation Author(s):
Michael
Haus
Technical University of Munich
Aaron Yi
Ding
Delft University of Technology
Jorg
Ott
Technical University of Munich
Submitted by:
CRAWDAD Team
Last updated:
Tue, 02/18/2020 - 08:00
DOI:
10.15783/c7-x43g-h794
Data Format:
License:
106 Views
Collection:
CRAWDAD
Categories:
Keywords:
0
0 ratings - Please login to submit your rating.

Abstract 

Dataset for evaluation of co-presence detection

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, J. Ott, "Multimodal Co-Presence Detection with Varying Spatio-Temporal Granularity", in Proceedings of IEEE 3rd International Workshop on Context-awareness for Multi-device Pervasive and Mobile Computing (PerCrowd), 2020. DOI: http://doi.org/10.15783/c7-x43g-h794

Traceset

tum/proximityness/traceset1

  • file: proximity_verification_set_wifi.csv.gz
  • description: proximity_verification_set_wifi.csv.gz contains the scans of Wi-Fi access points including mobile device's id, relative time, and BSSID. We have anonymized the device id and BSSID with substitute identifier. In addition, we converted the absolute timestamp to a relative time using a time reference point.
  • measurement purpose: ARRAY(0x55bfb7a81de0)

tum/proximityness/traceset1 Trace

  • trace1: first trace

tum/proximityness/traceset2

  • file: proximity_verification_set_wifi_positions.csv.gz
  • description: proximity_verification_set_wifi_positions.csv.gz contains the positions of Wi-Fi access points including BBSID and relative position. We have anonymized the BSSID and coordinates of Wi-Fi access points with substitute identifier.
  • measurement purpose: ARRAY(0x55bfb7a821e8)

tum/proximityness/traceset2 Trace

  • trace2: second trace

tum/proximityness/traceset3

  • file: sensor_data_magnetometer.csv.gz
  • description: sensor_data_magnetometer.csv.gz contains the magnetometer's sensor data including mobile device's id, relative time, and x, y, z of magnetometer sensor. We have anonymized the device id with substitute identifier and converted the absolute timestamp to a relative time using a time reference point.
  • measurement purpose: ARRAY(0x55bfb7a825f0)

tum/proximityness/traceset3 Trace

  • trace3: third trace

tum/proximityness/traceset4

  • file: sensor_hardware_magnetometer.csv.gz
  • description: sensor_hardware_magnetometer.csv.gz contains the magnetometer's sensor hardware including mobile device's id and hardware of magnetometer sensor. We have anonymized the device id and sensor hardware with substitute identifier.
  • measurement purpose: ARRAY(0x55bfb7a829f8)

tum/proximityness/traceset4 Trace

  • trace4: fourth trace
Instructions: 

The files in this directory are a CRAWDAD dataset hosted by IEEE DataPort. 

About CRAWDAD: the Community Resource for Archiving Wireless Data At Dartmouth is a data resource for the research community interested in wireless networks and mobile computing. 

CRAWDAD was founded at Dartmouth College in 2004, led by Tristan Henderson, David Kotz, and Chris McDonald. CRAWDAD datasets are hosted by IEEE DataPort as of November 2022. 

Note: Please use the Data in an ethical and responsible way with the aim of doing no harm to any person or entity for the benefit of society at large. Please respect the privacy of any human subjects whose wireless-network activity is captured by the Data and comply with all applicable laws, including without limitation such applicable laws pertaining to the protection of personal information, security of data, and data breaches. Please do not apply, adapt or develop algorithms for the extraction of the true identity of users and other information of a personal nature, which might constitute personally identifiable information or protected health information under any such applicable laws. Do not publish or otherwise disclose to any other person or entity any information that constitutes personally identifiable information or protected health information under any such applicable laws derived from the Data through manual or automated techniques. 

Please acknowledge the source of the Data in any publications or presentations reporting use of this Data. 

Citation:

Michael Haus, Aaron Yi Ding, Jorg Ott, tum/proximityness, https://doi.org/10.15783/c7-x43g-h794 , Date: 20200218

Dataset Files

LOGIN TO ACCESS DATASET FILES
Open Access dataset files are accessible to all logged in  users. Don't have a login?  Create a free IEEE account.  IEEE Membership is not required.

Documentation

AttachmentSize
File tum-proximityness-readme.txt1.59 KB

These datasets are part of Community Resource for Archiving Wireless Data (CRAWDAD). CRAWDAD began in 2004 at Dartmouth College as a place to share wireless network data with the research community. Its purpose was to enable access to data from real networks and real mobile users at a time when collecting such data was challenging and expensive. The archive has continued to grow since its inception, and starting in summer 2022 is being housed on IEEE DataPort.

Questions about CRAWDAD? See our CRAWDAD FAQ. Interested in submitting your dataset to the CRAWDAD collection? Get started, by submitting an Open Access Dataset.