Patel, Shwetak NaranSalemi Parizi, Farshid2019-08-142019-08-142019-08-142019SalemiParizi_washington_0250O_20142.pdfhttp://hdl.handle.net/1773/43935Thesis (Master's)--University of Washington, 2019Wearable computing platforms, such as smartwatches and head-mounted mixed reality displays represent a promising direction for next-generation computing platforms. As computing platforms evolve from devices we carry with us to devices we wear on us, there is a renewed demand for input techniques that are decoupled from the display. These input devices demand precise tracking for high-fidelity interaction and must be continuously available and subtle to support various contexts of use while enabling robust and expressive interaction. In this thesis, I leverage electromagnetic tracking with data-driven approaches to enable new input devices that are more precise, subtle, and computationally simpler.application/pdfen-USCC BY-NC-NDElectromagnetic trackingFinger TrackingMixed-realityWearable devicesElectrical engineeringComputer scienceComputer engineeringElectrical engineeringThesis