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Obstacle avoidance during locomotion using haptic information in normally sighted humans

Identifieur interne : 000F98 ( PascalFrancis/Corpus ); précédent : 000F97; suivant : 000F99

Obstacle avoidance during locomotion using haptic information in normally sighted humans

Auteurs : Aftab E. Patla ; T. Claire Davies ; Ewa Niechwiej

Source :

RBID : Pascal:04-0283160

Descripteurs français

English descriptors

Abstract

The goal of the study was to examine the accuracy and precision of control of adaptive locomotion using haptic information in normally sighted humans before and after practice. Obstacle avoidance paradigm was used to study adaptive locomotion; individuals were required to approach and step over different sizes of obstacles placed in the travel path under three sensory conditions: full vision (FV); restricted lower visual field (RLVF) using blinders on custom glass frames; and no vision (NV) using haptic information only. In the NV condition, individuals were a given an appropriate-sized cane to guide their locomotion. Footfall patterns were recorded using the GAITRite system, and lead and trail limb trajectories were monitored using the OPTOTRAK system, which tracked infrared diodes placed on the toes and the cane. Approach step lengths were reduced for the haptic condition: this slowed the forward progression and allowed greater time for haptic exploration, which ranged from 2.5 to 4 s and consisted of horizontal cane movements (to detect the width and relative location of the obstacle) and vertical cane movements (to detect the height of the obstacle). Based on feed-forward and on-line sensory (under both vision and haptic conditions) information about location of the obstacle relative to the individual, variability of foot placement reduced as the individual came closer to the obstacle, as has been shown in the literature. The only difference was that the reduction in variability of foot placement under haptic condition occurred in the last step compared with earlier under vision. Considering that the obstacle is detected only when the cane comes in contact, as opposed to vision condition when it is visible earlier, this difference is understandable. Variability and magnitude of lead and trail limb elevation for the haptic condition was higher than the RLVF and FV conditions. In contrast, only the magnitude of lead and trail limb elevation was higher in the RLVF condition when compared with the FV condition. This suggests that it is the inability of the haptic sense to provide accurate information about obstacle characteristics compared with the visual system, and not simple caution that lead to higher limb elevation. In the haptic and RLVF condition when vision was unavailable for on-line monitoring of lead limb elevation, kinesthetic information from lead limb elevation was used to fine-tune trail limb elevation. Both the control of approach phase and limb elevation findings held up even after sufficient practice to learn haptic guidance of adaptive locomotion in the second experiment. These results provide a clear picture of the efficacy of the haptic sensory system to guide locomotion in a cluttered environment.

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Pour connaître la documentation sur le format Inist Standard.

pA  
A01 01  1    @0 0014-4819
A02 01      @0 EXBRAP
A03   1    @0 Exp. brain res.
A05       @2 155
A06       @2 2
A08 01  1  ENG  @1 Obstacle avoidance during locomotion using haptic information in normally sighted humans
A11 01  1    @1 PATLA (Aftab E.)
A11 02  1    @1 DAVIES (T. Claire)
A11 03  1    @1 NIECHWIEJ (Ewa)
A14 01      @1 Gait & Posture Lab, Department of Kinesiology, University of Waterloo @2 Waterloo, Ontario, N2L3G1 @3 CAN @Z 1 aut. @Z 2 aut. @Z 3 aut.
A20       @1 173-185
A21       @1 2004
A23 01      @0 ENG
A43 01      @1 INIST @2 12535 @5 354000116907660040
A44       @0 0000 @1 © 2004 INIST-CNRS. All rights reserved.
A45       @0 34 ref.
A47 01  1    @0 04-0283160
A60       @1 P
A61       @0 A
A64 01  1    @0 Experimental brain research
A66 01      @0 DEU
C01 01    ENG  @0 The goal of the study was to examine the accuracy and precision of control of adaptive locomotion using haptic information in normally sighted humans before and after practice. Obstacle avoidance paradigm was used to study adaptive locomotion; individuals were required to approach and step over different sizes of obstacles placed in the travel path under three sensory conditions: full vision (FV); restricted lower visual field (RLVF) using blinders on custom glass frames; and no vision (NV) using haptic information only. In the NV condition, individuals were a given an appropriate-sized cane to guide their locomotion. Footfall patterns were recorded using the GAITRite system, and lead and trail limb trajectories were monitored using the OPTOTRAK system, which tracked infrared diodes placed on the toes and the cane. Approach step lengths were reduced for the haptic condition: this slowed the forward progression and allowed greater time for haptic exploration, which ranged from 2.5 to 4 s and consisted of horizontal cane movements (to detect the width and relative location of the obstacle) and vertical cane movements (to detect the height of the obstacle). Based on feed-forward and on-line sensory (under both vision and haptic conditions) information about location of the obstacle relative to the individual, variability of foot placement reduced as the individual came closer to the obstacle, as has been shown in the literature. The only difference was that the reduction in variability of foot placement under haptic condition occurred in the last step compared with earlier under vision. Considering that the obstacle is detected only when the cane comes in contact, as opposed to vision condition when it is visible earlier, this difference is understandable. Variability and magnitude of lead and trail limb elevation for the haptic condition was higher than the RLVF and FV conditions. In contrast, only the magnitude of lead and trail limb elevation was higher in the RLVF condition when compared with the FV condition. This suggests that it is the inability of the haptic sense to provide accurate information about obstacle characteristics compared with the visual system, and not simple caution that lead to higher limb elevation. In the haptic and RLVF condition when vision was unavailable for on-line monitoring of lead limb elevation, kinesthetic information from lead limb elevation was used to fine-tune trail limb elevation. Both the control of approach phase and limb elevation findings held up even after sufficient practice to learn haptic guidance of adaptive locomotion in the second experiment. These results provide a clear picture of the efficacy of the haptic sensory system to guide locomotion in a cluttered environment.
C02 01  X    @0 002A25E
C03 01  X  FRE  @0 Obstacle @5 01
C03 01  X  ENG  @0 Obstacle @5 01
C03 01  X  SPA  @0 Obstáculo @5 01
C03 02  X  FRE  @0 Evitement @5 02
C03 02  X  ENG  @0 Avoidance @5 02
C03 02  X  SPA  @0 Evitación @5 02
C03 03  X  FRE  @0 Locomotion @5 03
C03 03  X  ENG  @0 Locomotion @5 03
C03 03  X  SPA  @0 Locomoción @5 03
C03 04  X  FRE  @0 Précision @5 04
C03 04  X  ENG  @0 Accuracy @5 04
C03 04  X  SPA  @0 Precisión @5 04
C03 05  X  FRE  @0 Champ visuel @5 05
C03 05  X  ENG  @0 Visual field @5 05
C03 05  X  SPA  @0 Campo visual @5 05
C03 06  X  FRE  @0 Vision @5 06
C03 06  X  ENG  @0 Vision @5 06
C03 06  X  SPA  @0 Visión @5 06
C03 07  X  FRE  @0 Trajectoire @5 07
C03 07  X  ENG  @0 Trajectory @5 07
C03 07  X  SPA  @0 Trayectoria @5 07
C03 08  X  FRE  @0 Adaptation @5 08
C03 08  X  ENG  @0 Adaptation @5 08
C03 08  X  SPA  @0 Adaptación @5 08
C03 09  X  FRE  @0 Appareil visuel @5 11
C03 09  X  ENG  @0 Visual system @5 11
C03 09  X  SPA  @0 Aparato visual @5 11
C03 10  X  FRE  @0 Homme @5 54
C03 10  X  ENG  @0 Human @5 54
C03 10  X  SPA  @0 Hombre @5 54
C03 11  X  FRE  @0 Perception haptique @4 CD @5 96
C03 11  X  ENG  @0 Haptic perception @4 CD @5 96
N21       @1 173

Format Inist (serveur)

NO : PASCAL 04-0283160 INIST
ET : Obstacle avoidance during locomotion using haptic information in normally sighted humans
AU : PATLA (Aftab E.); DAVIES (T. Claire); NIECHWIEJ (Ewa)
AF : Gait & Posture Lab, Department of Kinesiology, University of Waterloo/Waterloo, Ontario, N2L3G1/Canada (1 aut., 2 aut., 3 aut.)
DT : Publication en série; Niveau analytique
SO : Experimental brain research; ISSN 0014-4819; Coden EXBRAP; Allemagne; Da. 2004; Vol. 155; No. 2; Pp. 173-185; Bibl. 34 ref.
LA : Anglais
EA : The goal of the study was to examine the accuracy and precision of control of adaptive locomotion using haptic information in normally sighted humans before and after practice. Obstacle avoidance paradigm was used to study adaptive locomotion; individuals were required to approach and step over different sizes of obstacles placed in the travel path under three sensory conditions: full vision (FV); restricted lower visual field (RLVF) using blinders on custom glass frames; and no vision (NV) using haptic information only. In the NV condition, individuals were a given an appropriate-sized cane to guide their locomotion. Footfall patterns were recorded using the GAITRite system, and lead and trail limb trajectories were monitored using the OPTOTRAK system, which tracked infrared diodes placed on the toes and the cane. Approach step lengths were reduced for the haptic condition: this slowed the forward progression and allowed greater time for haptic exploration, which ranged from 2.5 to 4 s and consisted of horizontal cane movements (to detect the width and relative location of the obstacle) and vertical cane movements (to detect the height of the obstacle). Based on feed-forward and on-line sensory (under both vision and haptic conditions) information about location of the obstacle relative to the individual, variability of foot placement reduced as the individual came closer to the obstacle, as has been shown in the literature. The only difference was that the reduction in variability of foot placement under haptic condition occurred in the last step compared with earlier under vision. Considering that the obstacle is detected only when the cane comes in contact, as opposed to vision condition when it is visible earlier, this difference is understandable. Variability and magnitude of lead and trail limb elevation for the haptic condition was higher than the RLVF and FV conditions. In contrast, only the magnitude of lead and trail limb elevation was higher in the RLVF condition when compared with the FV condition. This suggests that it is the inability of the haptic sense to provide accurate information about obstacle characteristics compared with the visual system, and not simple caution that lead to higher limb elevation. In the haptic and RLVF condition when vision was unavailable for on-line monitoring of lead limb elevation, kinesthetic information from lead limb elevation was used to fine-tune trail limb elevation. Both the control of approach phase and limb elevation findings held up even after sufficient practice to learn haptic guidance of adaptive locomotion in the second experiment. These results provide a clear picture of the efficacy of the haptic sensory system to guide locomotion in a cluttered environment.
CC : 002A25E
FD : Obstacle; Evitement; Locomotion; Précision; Champ visuel; Vision; Trajectoire; Adaptation; Appareil visuel; Homme; Perception haptique
ED : Obstacle; Avoidance; Locomotion; Accuracy; Visual field; Vision; Trajectory; Adaptation; Visual system; Human; Haptic perception
SD : Obstáculo; Evitación; Locomoción; Precisión; Campo visual; Visión; Trayectoria; Adaptación; Aparato visual; Hombre
LO : INIST-12535.354000116907660040
ID : 04-0283160

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Pascal:04-0283160

Le document en format XML

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<div type="abstract" xml:lang="en">The goal of the study was to examine the accuracy and precision of control of adaptive locomotion using haptic information in normally sighted humans before and after practice. Obstacle avoidance paradigm was used to study adaptive locomotion; individuals were required to approach and step over different sizes of obstacles placed in the travel path under three sensory conditions: full vision (FV); restricted lower visual field (RLVF) using blinders on custom glass frames; and no vision (NV) using haptic information only. In the NV condition, individuals were a given an appropriate-sized cane to guide their locomotion. Footfall patterns were recorded using the GAITRite system, and lead and trail limb trajectories were monitored using the OPTOTRAK system, which tracked infrared diodes placed on the toes and the cane. Approach step lengths were reduced for the haptic condition: this slowed the forward progression and allowed greater time for haptic exploration, which ranged from 2.5 to 4 s and consisted of horizontal cane movements (to detect the width and relative location of the obstacle) and vertical cane movements (to detect the height of the obstacle). Based on feed-forward and on-line sensory (under both vision and haptic conditions) information about location of the obstacle relative to the individual, variability of foot placement reduced as the individual came closer to the obstacle, as has been shown in the literature. The only difference was that the reduction in variability of foot placement under haptic condition occurred in the last step compared with earlier under vision. Considering that the obstacle is detected only when the cane comes in contact, as opposed to vision condition when it is visible earlier, this difference is understandable. Variability and magnitude of lead and trail limb elevation for the haptic condition was higher than the RLVF and FV conditions. In contrast, only the magnitude of lead and trail limb elevation was higher in the RLVF condition when compared with the FV condition. This suggests that it is the inability of the haptic sense to provide accurate information about obstacle characteristics compared with the visual system, and not simple caution that lead to higher limb elevation. In the haptic and RLVF condition when vision was unavailable for on-line monitoring of lead limb elevation, kinesthetic information from lead limb elevation was used to fine-tune trail limb elevation. Both the control of approach phase and limb elevation findings held up even after sufficient practice to learn haptic guidance of adaptive locomotion in the second experiment. These results provide a clear picture of the efficacy of the haptic sensory system to guide locomotion in a cluttered environment.</div>
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<NO>PASCAL 04-0283160 INIST</NO>
<ET>Obstacle avoidance during locomotion using haptic information in normally sighted humans</ET>
<AU>PATLA (Aftab E.); DAVIES (T. Claire); NIECHWIEJ (Ewa)</AU>
<AF>Gait & Posture Lab, Department of Kinesiology, University of Waterloo/Waterloo, Ontario, N2L3G1/Canada (1 aut., 2 aut., 3 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Experimental brain research; ISSN 0014-4819; Coden EXBRAP; Allemagne; Da. 2004; Vol. 155; No. 2; Pp. 173-185; Bibl. 34 ref.</SO>
<LA>Anglais</LA>
<EA>The goal of the study was to examine the accuracy and precision of control of adaptive locomotion using haptic information in normally sighted humans before and after practice. Obstacle avoidance paradigm was used to study adaptive locomotion; individuals were required to approach and step over different sizes of obstacles placed in the travel path under three sensory conditions: full vision (FV); restricted lower visual field (RLVF) using blinders on custom glass frames; and no vision (NV) using haptic information only. In the NV condition, individuals were a given an appropriate-sized cane to guide their locomotion. Footfall patterns were recorded using the GAITRite system, and lead and trail limb trajectories were monitored using the OPTOTRAK system, which tracked infrared diodes placed on the toes and the cane. Approach step lengths were reduced for the haptic condition: this slowed the forward progression and allowed greater time for haptic exploration, which ranged from 2.5 to 4 s and consisted of horizontal cane movements (to detect the width and relative location of the obstacle) and vertical cane movements (to detect the height of the obstacle). Based on feed-forward and on-line sensory (under both vision and haptic conditions) information about location of the obstacle relative to the individual, variability of foot placement reduced as the individual came closer to the obstacle, as has been shown in the literature. The only difference was that the reduction in variability of foot placement under haptic condition occurred in the last step compared with earlier under vision. Considering that the obstacle is detected only when the cane comes in contact, as opposed to vision condition when it is visible earlier, this difference is understandable. Variability and magnitude of lead and trail limb elevation for the haptic condition was higher than the RLVF and FV conditions. In contrast, only the magnitude of lead and trail limb elevation was higher in the RLVF condition when compared with the FV condition. This suggests that it is the inability of the haptic sense to provide accurate information about obstacle characteristics compared with the visual system, and not simple caution that lead to higher limb elevation. In the haptic and RLVF condition when vision was unavailable for on-line monitoring of lead limb elevation, kinesthetic information from lead limb elevation was used to fine-tune trail limb elevation. Both the control of approach phase and limb elevation findings held up even after sufficient practice to learn haptic guidance of adaptive locomotion in the second experiment. These results provide a clear picture of the efficacy of the haptic sensory system to guide locomotion in a cluttered environment.</EA>
<CC>002A25E</CC>
<FD>Obstacle; Evitement; Locomotion; Précision; Champ visuel; Vision; Trajectoire; Adaptation; Appareil visuel; Homme; Perception haptique</FD>
<ED>Obstacle; Avoidance; Locomotion; Accuracy; Visual field; Vision; Trajectory; Adaptation; Visual system; Human; Haptic perception</ED>
<SD>Obstáculo; Evitación; Locomoción; Precisión; Campo visual; Visión; Trayectoria; Adaptación; Aparato visual; Hombre</SD>
<LO>INIST-12535.354000116907660040</LO>
<ID>04-0283160</ID>
</server>
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