Publication | Open Access
Physio@Home
120
Citations
21
References
2015
Year
Unknown Venue
Physical ActivityReal-time Visual GuidesExercise Guidance SystemsMovement AnalysisRehabilitation RoboticsKinesiology3D User InteractionHealth SciencesPhysical MedicineAssistive TechnologyRehabilitationTelerehabilitationVisual Feedback ComplexityPhysical TherapyExtended RealityHuman-computer InteractionHuman MovementNeurologic Physical TherapyMedicineActivity Recognition
Physiotherapy patients exercising at home alone are at risk of re-injury since they do not have corrective guidance from a therapist. To explore solutions to this problem, we designed Physio@Home, a prototype that guides people through prerecorded physiotherapy exercises using real-time visual guides and multi-camera views. Our design addresses several aspects of corrective guidance, including: plane and range of movement, joint positions and angles, and extent of movement. We evaluated our design, com-paring how closely people could follow exercise movements under various feedback conditions. Participants were most accurate when using our visual guide and multi-views. We provide suggestions for exercise guidance systems drawn from qualitative findings on visual feedback complexity.
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