%0 Generic %A van Dijk, Marit %A Heringa, Louise %A Veeger, DirkJan HEJ %A Hoozemans, Marco J. M. %A Berger, Monique %A de Vette, Vera %D 2023 %T Dataset of the front-wheel load of a set of wheelchair propulsion experiments %U %R 10.4121/bc9a8588-5e50-4dff-aa77-5114ff7626f7.v1 %K Wheelchair propulsion %K Rolling resistance %K Inertial Measurement Unit %K IMU %K Load pin force %K Power %X
Twenty-five participants (19 females, mean age (S.D) = 30 (10) years, mean body mass = 68 (11) kg, height = 170 (7) cm) with no wheelchair experience were included in the study. Participants propelled the hand-rims of a wheelchair on a large (3.0 x 5.0 m) motor-driven treadmill, while their kinematics were measured with three IMUs (attached to the participants’ sternum, the wheelchair’s frame, and right wheel axle) and the front-wheel load was measured using custom-made load pins (in both front wheel axes). Before the treadmill sessions, participants received a 10-minute overground wheelchair training to get familiar with the wheelchair and a 10-minute training on the treadmill (see Fig. 1). After three treadmill sessions, drag tests were performed on the treadmill to obtain rolling resistance coefficients of the (small) front and (large) rear wheels.
To simulate different wheelchair characteristics and push styles, the treadmill session was repeated six times with different tire pressures (1.75 bar, 3.5 bar, 5.25 bar) or added mass (0 kg, 5 kg, 15 kg), see Fig. 1, and with three pushing styles (no trunk motion at 1.2 m/s [style 1], normal trunk motion at 1.2 m/s [style 2], normal trunk motion at 1.7 m/s [style 3]). By following a metronome (25 beats/min in pushing style 1 and 40 beats/min in pushing style 2 and 3), participants were stimulated to make long pushes accompanied by ‘natural’ trunk motion. Each treadmill session consisted of 30s familiarization to the new situation, after which participants propelled 60s in each pushing style. In this way, a dataset was composed of eighteen (three push styles and six treadmill sessions) 60s-time trials per participant. The order of the treadmill sessions differed per participant.
The load on the front wheels is expressed as percentage of the total weight (of participant + wheelchair).
The dataset consists of 11 columns representing the following variables
v_wc: linear velocity of the wheelchair in m/s
a_wc: linear acceleration of the wheelchair in m/s^2
av_tr: Angular velocity of trunk (around sagittal axis) in rad/s
aa_tr: Angular acceleration of trunk (around sagittal axis) in rad/s2
ang_tr: Trunk inclination angle in rad
laz_tr: Trunk acceleration perpendicular to the frontal plane of the trunk in m/s2
lay_tr: Trunk caudal-cranial acceleration in m/s2
lar_tr: Magnitude of trunk acceleration vector in m/s2
F: front wheel-load as percentage of the total weight (of participant + wheelchair)
subjectnr: subject number
blocknr: block number in which
block 1: rear wheel tyre pressure = 5.25; added mass = 0 kg (practice/familiarization session)
block 2: rear wheel tyre pressure = 5.25; added mass = 5 kg
block 3: rear wheel tyre pressure = 5.25; added mass = 15 kg
block 4: rear wheel tyre pressure = 5.25; added mass = 0 kg
block 5: rear wheel tyre pressure = 3.50; added mass = 0 kg
block 6: rear wheel tyre pressure = 1.75; added mass = 0 kg
See also the file 'additional information.pdf'.
%I 4TU.ResearchData