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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 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 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 |
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}
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, receiver ID, sender ID, RSSI>
We report, for each scenario, the list of possible IDs:
survey: receiver IDs: {1062,1063,1064,1069,1070,1071,1079,1080} sender IDs: {1,1062,1063,1064,1069,1070,1071,1079,1080} localization: receiver IDs: {1062,1063,1064,1069,1070,1071,1079,1080} sender IDs: {1,1062,1063,1064,1069,1070,1071,1079,1080} social scenario 1: receiver IDs: {1062,1063,1064,1069,1070,1071,1079,1080} sender IDs: {1,2,1062,1063,1064,1069,1070,1071,1079,1080} social scenario 2: receiver IDs: {1062,1063,1064,1069,1070,1071,1079,1080} sender IDs: {1,2,1062,1063,1064,1069,1070,1071,1079,1080} social scenario 3: receiver IDs: {1062,1063,1064,1069,1070,1071,1079,1080} sender IDs: {1,2,3,1062,1063,1064,1069,1070,1071,1079,1080} social scenario 4: receiver IDs: {1062,1063,1064,1069,1070,1071,1079,1080} sender IDs: {1,2,3,1062,1063,1064,1069,1070,1071,1079,1080}
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 convenience at start of the corridor as shown in the attached maps.
survey: data format: <start_timestamp,end_timestamp,user ID,position ID,orientation> Possible values: user IDs: {1} position IDs: {1,2,3,...,277} orientation: {1,2,3,4} localization: data format: <timestamp,user ID,position ID> Possible values: user IDs: {1} position IDs: {1,2,3,...,277} social scenario 1: data format: <timestamp,user ID,position ID> Possible values: user IDs: {1} position IDs: {1,2,3,...,277} social scenario 2: data format: <timestamp,user ID,position ID> Possible values: user IDs: {1,2} position IDs: {1,2,3,...,277} social scenario 3 and 4: data format: <timestamp,user ID,position ID> Possible values: user IDs: {1,2,3} position IDs: {1,2,3,...,277}