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Open Access
RSSdata_HumanHuman
- Citation Author(s):
- Submitted by:
- Pai Chet Ng
- Last updated:
- Tue, 05/17/2022 - 22:21
- DOI:
- 10.21227/rd1e-6k71
- Research Article Link:
- Links:
- License:
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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
Dataset Files
RSS_humanBB.csv (1.50 MB)- RSS_humanHB.csv (466.59 kB)
- RSS_humanHH.csv (850.34 kB)
- RSS_humanHP.csv (675.45 kB)
- RSS_humanPB.csv (818.71 kB)
- RSS_humanPP.csv (1.08 MB)
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Comments
For detailed information, please refer to https://github.com/pc-ng/rss_HumanHuman