Tang, AnthonyTang, Richard2015-09-252015-11-202015-09-252015http://hdl.handle.net/11023/2503Physiotherapy patients learn rehabilitation exercises with the help of a physiotherapist, but are at risk of re-injury while exercising at home. This thesis explores the design of visualizations for guiding patients through physiotherapy exercises at home. I interviewed a physiotherapist to gain knowledge on physiotherapy practices and developed a set of visual characteristics for guidance: plane/range of movement, positions/angles to maintain, extent of movement, and rate of movement. I applied these in the design of movement-guiding visualizations in two prototypes. Zipples was a Microsoft Kinect-based prototype featuring movement recording and playback, supported by a variety of visualizations. Physio@Home was a Vicon-based iteration that featured an annotation tool, an iteratively-designed Wedge visualization, and multiple camera perspectives. I evaluated both systems with laboratory studies and found that participants using Physio@Home could follow exercises with greater accuracy than watching and mimicking video. I conclude with reflections on system limitations and potential future work.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.Rehabilitation and TherapyComputer Sciencemaster thesis10.11575/PRISM/27355