Reference number : GC-2017-Q2-04273, amendment number : , agreement type : G, recipient legal name : Maurer, Frank (University of Calgary), recipient country : CA, recipient province : nan, recipient city : Alberta, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : AnimationLeader Technology Inc. is a Calgary-based company that has motion-tracking system and offers_x000D_
physiotherapists a digital onboarding process, a vision-based assessment tool, an intelligent exercise_x000D_
recommendation portal and an interactive compliance tracking app to automate the whole process of objective_x000D_
examination, exercise instruction and compliance tracking in an accurate, data driven and engaging way. Their_x000D_
technology called Physio4D will help practitioners to prescribe customized exercises, track whether the patient_x000D_
is doing the exercise correctly, and assess the effectiveness of the prescribed exercises. To have more accurate_x000D_
real-time assessments for the exercises, they want to see a representation of the person's joints and bones._x000D_
Using mixed reality devices will help them to overlay a digital skeleton on the patients' body and do real-time_x000D_
measurements while the patient is doing exercises. Also, for each patient, the company is collecting data points_x000D_
and tracks the patient's progress to evaluate the benefits of the prescribed exercises. However, since the number_x000D_
of exercises is high (Some exercise programs have more than 10,000 exercises), the company is looking for_x000D_
ways to find normative data for each injury category to develop recommendations for an effective and_x000D_
personalized rehab plan._x000D_
The project goal is to investigate whether mixed reality devices can help the clinicians get a better_x000D_
understanding on how patients can keep a good posture during functional tests such as lifting endurance over a_x000D_
period of time and use machine learning to analyze collected measurements and develop predictive metrics for_x000D_
a personalized rehab plan using (frozen) shoulder injuries as a case study.Concretely, we will investigate if_x000D_
mixed reality real-time visualizations using a Microsoft HoloLens to project information on top of the patient_x000D_
doing the exercises can increase the accuracy of performing the exercise and has positive healing effects for the_x000D_
area of injury. We will also use machine learning techniques to investigate the impact of prescribed exercises_x000D_
on the outcomes. If successful, the research can help develop evidence-based personalized rehab plans and, program purpose french : AnimationLeader Technology Inc. is a Calgary-based company that has motion-tracking system and offers_x000D_
physiotherapists a digital onboarding process, a vision-based assessment tool, an intelligent exercise_x000D_
recommendation portal and an interactive compliance tracking app to automate the whole process of objective_x000D_
examination, exercise instruction and compliance tracking in an accurate, data driven and engaging way. Their_x000D_
technology called Physio4D will help practitioners to prescribe customized exercises, track whether the patient_x000D_
is doing the exercise correctly, and assess the effectiveness of the prescribed exercises. To have more accurate_x000D_
real-time assessments for the exercises, they want to see a representation of the person's joints and bones._x000D_
Using mixed reality devices will help them to overlay a digital skeleton on the patients' body and do real-time_x000D_
measurements while the patient is doing exercises. Also, for each patient, the company is collecting data points_x000D_
and tracks the patient's progress to evaluate the benefits of the prescribed exercises. However, since the number_x000D_
of exercises is high (Some exercise programs have more than 10,000 exercises), the company is looking for_x000D_
ways to find normative data for each injury category to develop recommendations for an effective and_x000D_
personalized rehab plan._x000D_
The project goal is to investigate whether mixed reality devices can help the clinicians get a better_x000D_
understanding on how patients can keep a good posture during functional tests such as lifting endurance over a_x000D_
period of time and use machine learning to analyze collected measurements and develop predictive metrics for_x000D_
a personalized rehab plan using (frozen) shoulder injuries as a case study.Concretely, we will investigate if_x000D_
mixed reality real-time visualizations using a Microsoft HoloLens to project information on top of the patient_x000D_
doing the exercises can increase the accuracy of performing the exercise and has positive healing effects for the_x000D_
area of injury. We will also use machine learning techniques to investigate the impact of prescribed exercises_x000D_
on the outcomes. If successful, the research can help develop evidence-based personalized rehab plans and, agreement title english : Mixed Reality Real-Time Measurement and Analysis for Physiotherapy, agreement title french : Mixed Reality Real-Time Measurement and Analysis for Physiotherapy, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-09-20, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada