A Distributed System Using MS Kinect and Event Calculus for Adaptive Physiotherapist Rehabilitation
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A Distributed System Using MS Kinect and Event Calculus for Adaptive Physiotherapist Rehabilitation Stefano Bragaglia University of Bristol Stefano Di Monte University of Bologna IIBM 2014 Birmingham, 2 July 2014 Paola Mello University of Bologna
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In many countries of the world, the life expectancy increases but the population ages so rapidly that it is expected that soon it will be difficult to ensure a good life quality to the elder people when health issues arise. In this paper, we consider this problem from the point of view of the physiotherapy rehabili- tation which nowadays is perceived as costly and inconvenient for the elder patients. In order to lessen these problems, we propose a distributed architecture to allow the physiotherapists to remotely assist their patients while they comfortably do exercises from home. As in other proposals, the Human Pose Recognition is delegated to a computer equipped with MS Kinect and neural networks. Our approach, however, differs from others because it includes a logical framework based on Event Calculus augmented with Expectations which provides a higher-level description of the exercises and a mean to measure how well they were done.
Transcript of A Distributed System Using MS Kinect and Event Calculus for Adaptive Physiotherapist Rehabilitation
A Distributed SystemUsing MS Kinect and Event Calculus
for Adaptive Physiotherapist Rehabilitation
Stefano BragagliaUniversity of Bristol
Stefano Di MonteUniversity of Bologna
IIBM 2014Birmingham, 2 July 2014
Paola MelloUniversity of Bologna
IIBM 2014 2
Introduction
• Population ageing fast: fewer young people to support the elderly
• Life expectancy increases, as well as health issues in older age
• Proven correlation between improperly treated issues and consequent more serious health problems
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Use Case Scenario
• Physiotherapy rehabilitation for elder people– Hospitals and LHUs can be source of anxiety– Very unbalanced patients/doctor ratio– Exercises: generally low chances of a proper cure• Frequent visits to costly physiotherapy centres• Many causes lead to desist from a proper cure…• or insist with an improper cure!
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Our proposal
• Use non-invasive technology to virtually bring the physiotherapist in the patient’s house
• Distributed system– LHU’s data server– Physiotherapist’s application– Patient’s device
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Computer Vision
• Human pose prediction with MS Kinect– 6 networks, one per limb/body part with Weka• Multi-Layer Perceptrons *• Decision Trees• Logistic Model Trees• Support Vector Machines *
– Input: the coordinates of the appropriate joints– Output: a selection of partial frontal poses– For each frame and network:
the ID of the predicted pose and its likelihood
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An Overlying Logic Framework
• Provides – a convenient high-level way to describe exercises– a low-level operational way to review them
• Based on– Event Calculus: streamlined and resilient formalism to
reason about actions and their effects on a domain– Expectations: formalism to declaratively describe
expected and/or undesired workflows within a domain• Implemented as forward rules with Drools
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Example
• Example: sit-to-stand– Event: FrameAcquired (parametric)– Fluents: leftLegPose, leftLegPoseScore, …– Workflow: sit, stand, compute score
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Example: Sit-to-Stand (1/4)
on FrameAcquired( ... , leftLegPose, leftLegPoseScore, rightLegPose, rightLegPoseScore, ... ) ... , set LeftLegPose to leftLegPose, set LeftLegPoseScore to leftLegPoseScore, ... .
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Example: Sit-to-Stand (2/4)
on FrameAcquired if SittingScore < 0 expect LeftLegPose == 1 and RightLegPose == 1 when fulfilled set SittingScore to LeftLegPoseScore * RightLegPoseScore when violated set SittingScore to min(LeftLegPoseScore, RightLegPoseScore).
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Example: Sit-to-Stand (1/4)
on FrameAcquired if SittingScore >= 0 and StandingScore < 0 expect LeftLegPose == 0 and RightLegPose == 0 before 2s when fulfilled set StandingScore to LeftLegPoseScore * RightLegPoseScore when violated set StandingScore to min(LeftLegPoseScore, RightLegPoseScore).
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Example: Sit-to-Stand (4/4)
on FrameAcquired if SittingScore >= 0 and StandingScore >= 0 and ExerciseScore < 0 set ExerciseScore to SittingScore * StandingScore.
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Conclusions
• Contributions– Distributed architecture to assist elder people in
physiotherapy rehabilitation– Combines CV techniques with a powerful logic
framework– Proof-of-concept, not trained with proper data
• Future works– With the approval of an ethical committee,
creation of a postural dataset for data mining
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