Visuo-locomotor coordination for direction changes in a manual wheelchair as compared to biped locomotion in healthy subjects

Charette, Caroline; Routhier, François; McFadyen, Bradford J.

doi:10.1016/j.neulet.2015.01.002

Cited by 4 publications

(7 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An apparently contradictory result was reported in [17,31], where Trunk Yaw was found to predict the geographical corner pivot from 0.9 m to 1.14 m. This result can lead to think that Trunk Yaw anticipates walking turns. However, they may be explained by different turn negotiation strategies or simply by the experimental conditions.…”

Section: Trunk Yaw Is Not Valid To Predict Walking Turns As It Tracksmentioning

confidence: 86%

“…However, we have found that in one of the considered studies [26] both events were almost simultaneous. Additionally, eye movements have been found to depend greatly on ambient factors that can even reverse the usual sequence of anticipatory movements as reported in [17], where GY happens even after TY. This behavior may be explained as gaze does not develop standalone in turn negotiation, being intrinsically coordinated with the head progression [36,37].…”

Section: Gaze Yaw Is the Earliest Predictor Of Walking Turns; Howevermentioning

confidence: 86%

“…To standardize the later analysis, we then estimated the standard deviation as the product of the reported standard error times the square root of the number of effective experiments (Trials × People, Table 2-Column 2). Additionally, we estimated the anticipation in distance to the corner pivot from the anticipation times reported in [17] using the average walking speed of subjects in the experiments (Table 2-Column2) .…”

Section: Discussionmentioning

confidence: 99%

“…With respect to geographical anticipation, [17] reported a time anticipation of Gaze Yaw, Head Yaw and Trunk Yaw onsets to the corner pivot of 500 ± 300 ms, 800 ± 200 ms and 1500 ± 200 ms, respectively. From them, we estimated the corresponding anticipation in distance at 0.35 ± 0.21 m, 0.57 ± 0.14 m and 1.07 ± 0.14 m. [27] reported an anticipation distance of Head Yaw onset to the corner pivot of 0.3 ± 0.3 m. Other values regarding the anticipation to the corner pivot have been reported in [30,31], however, they lacked precision and will be qualitatively considered in the discussion section when appropriate.…”

Section: Data Collection and Preprocessingmentioning

confidence: 98%

“…Different steering maneuvers, such as lane-changes [15] or obstacle circumventing [16], were shown to be eventually preceded by some postural adaptations in the upper trunk. Steering under special circumstances, such as manual wheelchair navigation [17] or while pushing a cart [18], changed the preceding upper trunk motion as compared to normal biped walking.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Walking Turn Prediction from Upper Body Kinematics: A Systematic Review with Implications for Human-Robot Interaction

López

Álvarez

2019

Applied Sciences

View full text Add to dashboard Cite

Prediction of walking turns allows to improve human factors such as comfort and perceived safety in human-robot interaction. The current state-of-the-art suggests that upper body kinematics can be used for that purpose and contains evidence about the reliability and the quantitative anticipation that can be expected from different variables. However, the experimental methodology has not been consistent throughout the different works and the related data has not always been given in an explicit form, with different studies containing partial, complementary or even contradictory results. In this paper, with the purpose of providing a uniform view of the topic that can trigger new developments in the field, we performed a systematic review of the relevant literature addressing three main questions: (i) Which upper body kinematic variables permit to anticipate a walking turn? (ii) How long in advance can we anticipate the turn from them? (iii) What is the expected contribution of walking turn prediction systems from upper body kinematics for human-robot interaction? We have found that head yaw was the most reliable kinematical variable from the upper body to predict walking turns about 200ms. Trunk roll anticipates walking turns by a similar amount of time, but with less reliability. Both approaches may benefit human-robot interaction in close proximity, helping the robot to exhibit appropriate proxemic behavior interacting at intimate, personal or social distances. From the point of view of safety, they have to be considered with caution. Trunk yaw is not valid to anticipate turns. Gaze Yaw seems to be the earliest predictor, although existing evidence is still inconclusive.

show abstract

Section: Trunk Yaw Is Not Valid To Predict Walking Turns As It Tracksmentioning

confidence: 86%

Section: Gaze Yaw Is the Earliest Predictor Of Walking Turns; Howevermentioning

confidence: 86%

Section: Discussionmentioning

confidence: 99%

Section: Data Collection and Preprocessingmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Walking Turn Prediction from Upper Body Kinematics: A Systematic Review with Implications for Human-Robot Interaction

López

Álvarez

2019

Applied Sciences

View full text Add to dashboard Cite

show abstract

Design of Travel Auxiliary Products and APP for People with Mobility Impairments

Shao

Dai

2021

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

Visuo-locomotor control in persons with spinal cord injury in a manual or power wheelchair for direction change and obstacle circumvention

2017

View full text Add to dashboard Cite

Many individuals, such as persons with spinal cord injury (SCI), rely on wheeled locomotion involving manual (MWC) or power (PWC) wheelchairs to navigate their environments. Yet, visuo-locomotor control underlying WC navigation in experienced users is not well understood. The objective of this study was to compare the visuo-locomotor control between MWC and PWC in individuals with SCI while changing direction and circumventing an obstacle. Participants with SCI using a MWC (n = 12, 38.5 ± 10.7 years) or a PWC (n = 10, 47.8 ± 8.6 years) were asked to maneuver their chair straight ahead, while changing direction 45° to the right, and while circumventing an obstacle to the right, all at self-selected speeds. Speed, minimal clearance, point of deviation, temporal body and WC coordination, relative timing of segment rotations and visual behavior were analyzed. There was no main effect of group for speed, clearance and point of deviation. During direction change, the head always led body and wheelchair reorientation while an "en bloc" strategy was used for circumventing obstacle for both groups. In straight-ahead locomotion, participants predominantly fixed their gaze on the end target. During direction change and obstacle circumvention, participants fixated more on the future path and the obstacle for both WC modes. Overall, specific gaze behavior depended on environmental demands. While MWC and PWC users adopt similar navigational strategies and visuo-locomotor coordination while changing direction and circumventing obstacle, there were some differences in the amount of head rotation that could be related to a counter-movement used more by PWC users.

show abstract

Visuo-locomotor coordination for direction changes in a manual wheelchair as compared to biped locomotion in healthy subjects

Cited by 4 publications

References 21 publications

Walking Turn Prediction from Upper Body Kinematics: A Systematic Review with Implications for Human-Robot Interaction

Walking Turn Prediction from Upper Body Kinematics: A Systematic Review with Implications for Human-Robot Interaction

Design of Travel Auxiliary Products and APP for People with Mobility Impairments

Visuo-locomotor control in persons with spinal cord injury in a manual or power wheelchair for direction change and obstacle circumvention

Contact Info

Product

Resources

About