RSSdata_HumanHuman

Citation Author(s):
Pai Chet
Ng
Hong Kong University of Science and Technology
Petros
Spachos
University of Guelph
Konstantinos
Plataniotis
University of Toronto
Submitted by:
Pai Chet Ng
Last updated:
Tue, 05/17/2022 - 22:21
DOI:
10.21227/rd1e-6k71
Link to Paper:
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Abstract 

This dataset consists of RSS data measured from smartphones carried by two human beings.

Instructions: 

Two users were standing at a certain distance (d = {0.2:0.2:2, 3:5}) from each other. For each distance, the App was made to scan for incoming BLE signals for about 1min. The following information is logged: the truth distance, name of smartphone, MAC address of BLE chipset, the packet payload, RSS values, time elapsed, and timestamp.  Two phones were used: 1) gryphonelab, and 2) HTC One M9.

 

We consolidated the data and reorganized them while applying moving average to the raw RSS value.  The reorganized data has the following format:

  • ·         device name,
  • ·         time elapsed,
  • ·         rss (raw RSS value),
  • ·         mRSS10 (filtered RSS value with window size = 10),
  • ·         mRSS100 (filtered RSS value with window size = 100),
  • ·         distance, and
  • ·         label

Comments

For detailed information, please refer to https://github.com/pc-ng/rss_HumanHuman

 

Submitted by Pai Chet Ng on Wed, 05/06/2020 - 05:40

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