2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2009
DOI: 10.1109/iembs.2009.5333085
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Towards a mobility diagnostic tool: Tracking rollator users' leg pose with a monocular vision system

Abstract: Abstract-Cognitive assistance of a rollator (wheeled walker) user tends to reduce the attentional capacity of the user and may impact her stability. Hence, it is important to understand and track the pose of rollator users before augmenting a rollator with some form of cognitive assistance. While the majority of current markerless vision systems focus on estimating 2D and 3D walking motion in the sagittal plane, we wish to estimate the 3D pose of rollator users' lower limbs from observing image sequences in th… Show more

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Cited by 8 publications
(4 citation statements)
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“…coloured, inter-locking brick walkways). As a result, foot position tracking procedures may be enhanced by switching to an active marker system or a marker-less tracking method (16), as employed in previous work. Alternatively, multiple cameras or portable depth camera solutions may also provide a method that improves tracking.…”
Section: Discussionmentioning
confidence: 99%
“…coloured, inter-locking brick walkways). As a result, foot position tracking procedures may be enhanced by switching to an active marker system or a marker-less tracking method (16), as employed in previous work. Alternatively, multiple cameras or portable depth camera solutions may also provide a method that improves tracking.…”
Section: Discussionmentioning
confidence: 99%
“…There are relatively few previous works aiming to extract spatial gait parameters using FPV. An interesting and novel approach was using a walker-mounted depth and/or color camera to estimate 3D pose of lower limbs, mainly in frontal plane [35,18,31]. To achieve this, Ng et al [31] used general appearance model (texture and colour cues) within a Bayesian probabilistic framework.…”
Section: Related Workmentioning
confidence: 99%
“…An interesting and novel approach was using a walker-mounted depth and/or color camera to estimate 3D pose of lower limbs, mainly in frontal plane [35,18,31]. To achieve this, Ng et al [31] used general appearance model (texture and colour cues) within a Bayesian probabilistic framework. In [18], a Kinect (depth) sensor along with two RGB cameras were placed on a moving walker, and the 3D pose was formulated as a particle filtering problem with a hidden Markov model.…”
Section: Related Workmentioning
confidence: 99%
“…Few "Smart rollators" have been developed by different groups and focus on improving key parts of the design. Focuses include collecting data [17], determining intent of the user and assisting for navigation purposes [18,19], braking for stability purposes [20], and estimations of leg pose at the viewpoint of the rollator [21]. Each of these different designs have similarities in that all concern primarily on how the user is doing while operating the machine.…”
Section: Introductionmentioning
confidence: 99%