Datasets
Open Access
Lower Limb Prostheses Environmental Context Dataset
- Citation Author(s):
- Submitted by:
- Boxuan Zhong
- Last updated:
- Mon, 01/04/2021 - 22:35
- DOI:
- 10.21227/d3z5-n231
- Data Format:
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- License:
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- Keywords:
Abstract
This is the data for paper "Environmental Context Prediction for Lower Limb Prostheses with Uncertainty Quantification" published on IEEE Transactions on Automation Science and Engineering, 2020. DOI: 10.1109/TASE.2020.2993399. For more details, please refer to https://research.ece.ncsu.edu/aros/paper-tase2020-lowerlimb.
Seven able-bodied subjects and one transtibial amputee participated in this study. Subject_001 to Subject_007 are able-bodied participants and Subject_008 is a transtibial amputee.
Each folder in the subject_xxx.zip file has one continuous session of data with the following items:
1. folder named "rpi_frames": the frames collected from the lower limb camera. Frame rate: 10 frames per second.
2. folder named "tobii_frames": the frames collected from the on-glasses camera. Frame rate: 10 frames per second.
3. labels_fps10.mat: synchronized terrain labels, gaze from the eye-tracking glasses, GPS coordinates, and IMU signals.
3.1 cam_time: the timestamps for the videos, GPS, gazes, and labeled terrains (unit: second). 10Hz
3.2 imu_time: the timestamps for the IMU sensors (unit: second). 40Hz.
3.3 GPS: the GPS coordinates (latitude, longitude)
3.4 rpi_FrameIds, tobii_FrameIds: the frame ID for the lower-limb and on-glasses cameras respectively. The ids indicate the filenames in "rpi_frames" and "tobii_frames" respectively.
3.5 rpi_IMUs, tobii_IMUs: the imu signals from the two devices. Columns: (accel_x,accel_y,accel_z,gyro_x,gyro_y,gyro_z)
3.6 terrains: the type of terrains the subjects are current on. Six terrains: tile, brick, grass, cement, upstairs, downstairs. "undefined" and "unlabelled" can be regarded as the same kind of data that needs to be deprecated.
The following sessions were collected during busy hours (many pedestrians were around):
'subject_005/01',
'subject_005/02'
'subject_006/01',
'subject_006/02',
'subject_007/01',
'subject_007/02',
The following sessions were collected during non-busy hours (few pedestrians were around):
'subject_005/03',
'subject_005/04',
'subject_006/03',
'subject_006/04',
'subject_007/03',
'subject_007/04',
'subject_008/01',
'subject_008/02'
The other sessions were collected without specific collecting hours (e.g. busy or non-busy).
For the following sessions, the data collection devices were not optimized (e.g. non-optimal brightness balance). Thus, we recommend to use these sessions as training or validation dataset but not as testing data.
'subject_001/02'
'subject_003/01'
'subject_003/02'
'subject_003/03'
'subject_004/01'
'subject_004/02'
Dataset Files
- subject_001.zip (17.86 GB)
- subject_004.zip (2.92 GB)
- subject_008.zip (3.87 GB)
- subject_003.zip (4.56 GB)
- subject_005.zip (8.16 GB)
- subject_002.zip (11.75 GB)
- subject_006.zip (9.67 GB)
- subject_007.zip (6.83 GB)
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