3460326
doi
10.5281/zenodo.3460326
oai:zenodo.org:3460326
user-eu
Tomasz Piotr Kucner
AASS, Örebro University, Sweden
Chittaranjan Sriniva Swaminathan SWAMINATHAN
AASS, Örebro University, Sweden
Ravi Teja Chadalavada
AASS, Örebro University, Sweden
Kaj O. Arras
Bosch Corporate Research, Germany
Achim J. Lilienthal
AASS, Örebro University, Sweden
THÖR - eye-tracking
Andrey Rudenko
AASS, Örebro University, Sweden
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Human Robot Iteraction
Eye Tracking
Social Robotics
People tracking
<p><strong>THÖR</strong> is a dataset with human motion trajectory and eye gaze data collected in an indoor environment with accurate ground truth for the position, head orientation, gaze direction, social grouping and goals. THÖR contains sensor data collected by a 3D lidar sensor and involves a mobile robot navigating the space. In comparison to other, our dataset has a larger variety in human motion behaviour, is less noisy, and contains annotations at higher frequencies.</p>
<p><strong>THÖR eye-tracking -</strong> data of the participant (Helmet number 9) from the Tobii Glasses included in this dataset. The entire data from the experiment was recorded into two recordings - "Recording011" and "Recording012".</p>
<p>The folder "RawData" consists of exported data from Tobii Pro Lab software using a filter called "Tobii-IVT Attention filter" (velocity threshold parameter set to 100 degrees/second), which is a recommended method for dynamic situations. The recommendation was given by the equipment manufactures Tobii Pro and from other researchers. For further information, please refer to https://www.tobiipro.com/siteassets/tobii-pro/user-manuals/Tobii-Pro-Lab-User-Manual/?v=1.86 (Appendix-B, page 85).</p>
<p>The recording start times are as follows:<br>
Tobii recording011 starttime: 13:34:37.267<br>
Tobii recording012 starttime: 14:36:17.730</p>
<p>1. "Synchronized_Qualisys_Tobii.mat" file, which consists of all the synchronised data between Qualisys data and Tobii eye-tracker data using timestamps matching. The columns (headers) in this mat file respectively represent - 'timestamp', 'Pos_X', 'Pos_Y', 'Pos_Z', 'Head_R', 'Head_P', 'Head_Y', 'GazepointX', 'GazepointY', 'Gazepoint3D_X', 'Gazepoint3D_Y', 'Gazepoint3D_Z', 'Gazedirectionleft_X', 'Gazedirectionleft_Y', 'Gazedirectionleft_Z', 'Gazedirectionright_X', 'Gazedirectionright_Y', 'Gazedirectionright_Z', 'Pupilpositionleft_X', 'Pupilpositionleft_Y', 'Pupilpositionleft_Z', 'Pupilpositionright_X', 'Pupilpositionright_Y', 'Pupilpositionright_Z', 'Pupildiameterleft', 'Pupildiameterright', 'Gazeeventduration', 'Eyemovementtype_index', 'Fixationpoint_X', 'Fixationpoint_Y', 'Gyro_X', 'Gyro_Y', 'Gyro_Z', 'Accelerometer_X', 'Accelerometer_Y', 'Accelerometer_Z'.</p>
<p>2. A matlab script "Synchronizing_Qualisys_Tobii.m" used for matching the timestamps of Qualisys and Tobii and generate a data file "Synchronized_Qualisys_Tobii.mat" that can be found it git repository.</p>
<p>3. All the associated data required for running the matlab script.</p>
<p>Please note that 'Timestamp', 'Pos_X', 'Pos_Y', 'Pos_Z', 'Head_R', 'Head_P', 'Head_Y','GazepointX', 'GazepointY' represent the timestamps (matched to Tobii timestamps using nearest neighbor search), position and head orientation from Qualisys data and rest of the data is from Tobii eye-tracker. For more information regarding the eye-tracker data, please refer to https://www.tobiipro.com/siteassets/tobii-pro/user-manuals/Tobii-Pro-Lab-User-Manual/?v=1.86 (Section 8.7.2.1, page 68).</p>
<p> </p>
Zenodo
2019-09-14
info:eu-repo/semantics/other
3408199
user-eu
2.0
award_title=Intra-Logistics with Integrated Automatic Deployment: safe and scalable fleets in shared spaces; award_number=732737; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/732737; funder_id=00k4n6c32; funder_name=European Commission;
1579893927.752355
212585198
md5:5df60629f4d7ed07cddfb8b90b40dd35
https://zenodo.org/records/3460326/files/THOR Dataset Recording011.tsv
75165241
md5:45fa80d25a94e2f616f65721c69ae75f
https://zenodo.org/records/3460326/files/THORDatasetRecording012_Filtered_2019-09-18.xlsx
104421440
md5:c79d5bbb83bdef8aa731f1d3bfd5e3d0
https://zenodo.org/records/3460326/files/Ex_3_run_1.mat
17205797
md5:bd666a8918ec61ebba4724bcdbd63071
https://zenodo.org/records/3460326/files/THORDatasetRecording012Filtered20190918.mat
35851277
md5:7472f920abeb07c1dc4f76d1cb87b7a2
https://zenodo.org/records/3460326/files/THOR Dataset Recording011.xlsx
92010512
md5:856e5f9c77d8afa8b3371af972692b20
https://zenodo.org/records/3460326/files/Ex_3_run_4.mat
164278912
md5:20e7ccbb4568d619aed8b291c7f84f5e
https://zenodo.org/records/3460326/files/Ex_2_run_5.mat
86840520
md5:a0a8f0f73e7f62f5222c3d2ceaeab87d
https://zenodo.org/records/3460326/files/Ex_1_run_3.mat
80945592
md5:875adab5aa0c8312566b05cee3e50078
https://zenodo.org/records/3460326/files/Ex_1_run_2.mat
92474472
md5:34e2ec59f91b858876fbc1964adeac0b
https://zenodo.org/records/3460326/files/Ex_2_run_4.mat
106748496
md5:4ce06832cd6acd8a5bfcadef3ae8ab3b
https://zenodo.org/records/3460326/files/Ex_1_run_1.mat
94983168
md5:726886c63deee2ff34de2404d83d8680
https://zenodo.org/records/3460326/files/Ex_2_run_3.mat
85879608
md5:d4b29f4240a8f9e7cd5796857c363c15
https://zenodo.org/records/3460326/files/Ex_2_run_2.mat
125161883
md5:d0ad56dd0bb90158b52361875dfa2a41
https://zenodo.org/records/3460326/files/THOR Dataset Recording012.tsv
96394936
md5:11fd7cebe62ff2513259453b32b06ac1
https://zenodo.org/records/3460326/files/Ex_3_run_2.mat
28353810
md5:c55aa5249ca0e65619cfc7d6369dfb74
https://zenodo.org/records/3460326/files/THORDatasetRecording011Filtered20190918.mat
21766965
md5:851c5a69d36bb85bf40dd7b4f6b6f3c6
https://zenodo.org/records/3460326/files/THOR Dataset Recording012.xlsx
97283944
md5:5d5c02ccc5d674c860c71c525dd55e90
https://zenodo.org/records/3460326/files/Ex_3_run_3.mat
8664818
md5:ae03c8de01ab3f8f53994bc91a13ba35
https://zenodo.org/records/3460326/files/Synchronized_Qualisys_Tobii.mat
125453786
md5:47dee98b5fb3ddd8e02bad4561ababae
https://zenodo.org/records/3460326/files/THORDatasetRecording011_Filtered_2019-09-18.xlsx
99505800
md5:f48771fcaa37feb765a222b6e0023875
https://zenodo.org/records/3460326/files/Ex_1_run_4.mat
93342736
md5:b062b04c78af803fe0ddcd5acc1699b2
https://zenodo.org/records/3460326/files/Ex_2_run_1.mat
public
10.5281/zenodo.3408199
isVersionOf
doi