GAIT-IST dataset
About:
The GAIT-IST dataset is made available to address de lack of publicly
available pathological gait datasets, representing different types of gait, to
be used in gait analysis and classification systems.
The database consists of sequences of images acquired from 10 subjects
simulating pathological gait. Images are captured by a smartphone camera with
1280x720 pixel resolution, at the
Multimedia
signal Processing Group of Instituto de Telecomunicações
– Instituto Superior Técnico, Lisbon, Portugal.
The types of gaits featured in the
dataset, besides Normal gait, are Diplegic, Hemiplegic, Neuropathic and
Parkinsonian. The dataset includes, for each gait type, sequences with 2
severity levels, 2 directions of walking and 2 repetitions per participant,
except for normal gait, which does not have different severity
representations. This results in a total of 10 x (4 x 2 x 2 x 2 + 2 x 2) =
360 gait sequences. Acquisitions considered the subject walking parallel to
the camera plane, with a minimum of 2 complete gait cycles captured in each
direction.
For each sequence, the results of a
number of image pre-processing techniques are also present in the database.
These include silhouette and skeleton images, and the Gait Energy image
(GEI) and Skeleton Energy Image (SEI) representations. For each sequence,
the complete gait cycles were cropped and used to compute the two
representations. The silhouettes and skeletons included in the dataset are
only the ones used to compute the GEIs and SEIs, i.e., the frames comprised
in the detected complete gait cycles. All of these images were centered and
normalized to a size of 224x224 pixels.
Details:
The files composing the database are organized according to a hierarchical structure. The root level of the hierarchy includes the folders for each of the five gait types (each stored in a separate zip file for download).
Each of these folders contains 10
subfolders, corresponding to each subject. In each subject's
folder there are folders entitled: “GEIs”, “SEIs”,
“silhouettes” and “skeletons”. Each of these, for the pathological gait
sequences, contain subfolders named: “sub
i pat
j lvl
k-r_direction”,
where:
“i”
is the number of the subject;
“j” is the
number of the type of gait, which can be from 1 to 4 corresponding to
Diplegic, Hemiplegic, Neuropathic and Parkinsonian, respectively;
“k” can be “1”
or “2” corresponding to the two levels of severity, with “2” being the
most severe;
“r” can also be
“1” or “2”, identifying the two repetitions;
“direction” can
be “front” or “back”, indicating the walking direction of the sequence.
For
License agreement:
·
To
use the database please fill in the license
agreement and send a scanned copy of the signed form by
e-mail.
Download:
·
The
database can be downloaded from the links below.
·
A
password for decrypting the compressed Zip files will be provided after
receiving the duly signed license agreement (see above).
part01,
part02,
part03,
part04,
part05
How to reference the database:
·
J. Loureiro and P.L. Correia,
“Using a Skeleton Gait Energy Image for
Pathological Gait Classification”, Proceedings of the 15th IEEE
International Conference on Automatic Face and Gesture Recognition (FG 2020),
Buenos Aires, Argentina, 18 -22 May 2020
Contacts:
Feedback is
welcome. Please provide your comments and suggestions by
e-mail.