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Dear BIOMCH-Lers,
in a project that I am conducting, we're trying to annotate the video-
images of a moving subject (patients for rehabilitation care in our case)
with clinical usefull information, based on biomechanical and electro-
myographic measurements; for more info, reference below (*).
Our current research aim is directed to find out whether some basic 3D
kinematics can be derived from a monocular view. We know this is not gonna
be very accurate, but it might be enough for our purpose (i.e. annotion of
the video-images).
Apart from the experimental work, we want to do some theoretical analysis,
about sensitivity etc. For these analysis WE NEED A SET OF 3D-MARKER-
COORDINATES as a function of time of human gait (other movements are also
appreciated, but for the moment we'll stick to walking).
I'll guess many of you will have a file with such a data set, and I hope
you'll want to share it with us. Alternatively some you of might know some
other (public) source, e.g. a ftp-site.
More specific, we want 3D coordinates of markers of the great toe, ankle,
knee, hip, shoulder, elbow, wrist (all both sides) and top of the head, for
one or two stides. I.e. a very basic set. We know this is not very accura-
tely reflecting the movements of the skeleton, but it seems adequate for
our little study.
Data sets that are published in literature (e.g. Winter, Vaughan ea.) are
usually processed to joint kinematics, however we'd like to work with raw
data.
regards, Jaap Harlaar
(*) Harlaar J, Hautus E. Multi-Media Technology for Movement Analysis to
Assist Clinical Decision Making. XVth congress of the International Society
of Biomechanics. Jyv skyl , 2-6 juli 1995. Book of abstracts pp. 362-363.
################################################## ###################
## Mr. Jaap Harlaar, MSc, biom.eng. tel. +31 20 444 0773 ##
## Dept. Rehabilitation Medicine fax. +31 20 444 0787 ##
## University Hospital "Vrije Universiteit" ##
## De Boelelaan 1117 ##
## NL 1081 HV Amsterdam email: jharlaar@cca.vu.nl ##
## The Netherlands ##
################################################## ###################
in a project that I am conducting, we're trying to annotate the video-
images of a moving subject (patients for rehabilitation care in our case)
with clinical usefull information, based on biomechanical and electro-
myographic measurements; for more info, reference below (*).
Our current research aim is directed to find out whether some basic 3D
kinematics can be derived from a monocular view. We know this is not gonna
be very accurate, but it might be enough for our purpose (i.e. annotion of
the video-images).
Apart from the experimental work, we want to do some theoretical analysis,
about sensitivity etc. For these analysis WE NEED A SET OF 3D-MARKER-
COORDINATES as a function of time of human gait (other movements are also
appreciated, but for the moment we'll stick to walking).
I'll guess many of you will have a file with such a data set, and I hope
you'll want to share it with us. Alternatively some you of might know some
other (public) source, e.g. a ftp-site.
More specific, we want 3D coordinates of markers of the great toe, ankle,
knee, hip, shoulder, elbow, wrist (all both sides) and top of the head, for
one or two stides. I.e. a very basic set. We know this is not very accura-
tely reflecting the movements of the skeleton, but it seems adequate for
our little study.
Data sets that are published in literature (e.g. Winter, Vaughan ea.) are
usually processed to joint kinematics, however we'd like to work with raw
data.
regards, Jaap Harlaar
(*) Harlaar J, Hautus E. Multi-Media Technology for Movement Analysis to
Assist Clinical Decision Making. XVth congress of the International Society
of Biomechanics. Jyv skyl , 2-6 juli 1995. Book of abstracts pp. 362-363.
################################################## ###################
## Mr. Jaap Harlaar, MSc, biom.eng. tel. +31 20 444 0773 ##
## Dept. Rehabilitation Medicine fax. +31 20 444 0787 ##
## University Hospital "Vrije Universiteit" ##
## De Boelelaan 1117 ##
## NL 1081 HV Amsterdam email: jharlaar@cca.vu.nl ##
## The Netherlands ##
################################################## ###################