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Table of Contents
Localization
Donwload the full Dataset file
Description
This page describes the dataset presented in:
Baronti, P.; Barsocchi, P.; Chessa, S.; Mavilia, F.; Palumbo, F.
“Indoor Bluetooth Low Energy Dataset for Localization, Tracking, Occupancy, and Social Interaction”.
Sensors 2018, 18, 4462.
https://doi.org/10.3390/s18124462
If you use this dataset please cite the above document.
User and Anchor Ids
User Ids
User Id | Sender ID (BLE Tags) | Receiver ID (Smartphone) | ID in Ground Truth |
---|---|---|---|
USER 1 | 1 | 1 | 1 |
USER 2 | 2 | 2 | 2 |
USER 3 | 3 | 3 | 3 |
Anchor Ids
Anchor Id | Sender ID | Receiver ID |
---|---|---|
1062 | 1062 | 1062 |
1063 | 1063 | 1063 |
1064 | 1064 | 1064 |
1069 | 1069 | 1069 |
1070 | 1070 | 1070 |
1071 | 1071 | 1071 |
1079 | 1079 | 1079 |
1080 | 1080 | 1080 |
Self-Positioning Folder
In this folder, we collect all beacon signals received by mobile phones for each transmission power (3dBm, -6dBm, -18dBm). The data format is the following:
<timestamp, receiver ID, sender ID, RSSI>
We report, for each scenario, the list of possible IDs:
survey: receiver IDs: {1} sender IDs: {1,1062,1063,1064,1069,1070,1071,1079,1080} localization: receiver IDs: {1} sender IDs: {1,1062,1063,1064,1069,1070,1071,1079,1080} social scenario 1: receiver IDs: {1,2} sender IDs: {1,2,1062,1063,1064,1069,1070,1071,1079,1080} social scenario 2: receiver IDs: {1,2} sender IDs: {1,2,1062,1063,1064,1069,1070,1071,1079,1080} social scenario 3: receiver IDs: {1,2,3} sender IDs: {1,2,3,1062,1063,1064,1069,1070,1071,1079,1080} social scenario 4: receiver IDs: {1,2,3} sender IDs: {1,2,3,1062,1063,1064,1069,1070,1071,1079,1080}
Remote-Positioning Folder
In this folder, we collect all beacon signals received by anchors for each transmission power (3dBm, -6dBm, -18dBm). The data format is the following:
<timestamp,ID receiver, ID sender, RSSI>
We report, for each scenario, the list of possible IDs:
survey: IDs receiver: {1062,1063,1064,1069,1070,1071,1079,1080} IDs sender: {1,1062,1063,1064,1069,1070,1071,1079,1080} localization: IDs receiver: {1062,1063,1064,1069,1070,1071,1079,1080} IDs sender: {1,1062,1063,1064,1069,1070,1071,1079,1080} social scenario 1: IDs receiver: {1062,1063,1064,1069,1070,1071,1079,1080} IDs sender: {1,2,1062,1063,1064,1069,1070,1071,1079,1080} social scenario 2: IDs receiver: {1062,1063,1064,1069,1070,1071,1079,1080} IDs sender: {1,2,1062,1063,1064,1069,1070,1071,1079,1080} social scenario 3: IDs receiver: {1062,1063,1064,1069,1070,1071,1079,1080} IDs sender: {1,2,3,1062,1063,1064,1069,1070,1071,1079,1080} social scenario 4: IDs receiver: {1062,1063,1064,1069,1070,1071,1079,1080} IDs sender: {1,2,3,1062,1063,1064,1069,1070,1071,1079,1080}
Ground Truth Folder
In this folder, we report timestamps and positions of the users during the data collection for each scenario. The origin O(x,y) has been chosen for convienence at start of the corridor as shown in the attached maps.
survey: data format: <timestamp_start,timestamp_end,ID user,ID position,orientation> Possible values: IDs user: {1} IDs position: {1,2,3,...,277} orientation: {1,2,3,4} localization: data format: <timestamp,ID user,ID position> Possible values: IDs user: {1} IDs position: {1,2,3,...,277} social scenario 1: data format: <timestamp,ID user,ID position> Possible values: IDs user: {1} IDs position: {1,2,3,...,277} social scenario 2: data format: <timestamp,ID user,ID position> Possible values: IDs user: {1,2} IDs position: {1,2,3,...,277} social scenario 3 and 4: data format: <timestamp,ID user,ID position> Possible values: IDs user: {1,2,3} IDs position: {1,2,3,...,277}