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**Magnet Based Interactions**  Several works have investigated input methods making use of magnetometers, whether they are looking for more absolute locators mimicking a mouse or more gestural input. uTrack (**cite**) \cite{Chen_2013}  implements an absolute locator using a magnet attached to the user's thumb and two magnetometers attached to their ring finger. The combined readings from the two sensors allows a fairly accurate location reading for the magnet. While this does show that it is possible, the implementation also highlights that a single sensor does have its limitations, especially when compromises are made such as in smartphones. Smartphone sensor reliability for augmented reality applications (**cite**) \cite{Blum_2013}  touches on the inherit inaccuracy of cheaper sensors used in smartphones. In addition, alot of attention is paid to how external forces can affect the readings. Improving Heading Accuracy in Smartphone-based PDR Systems using Multi-Pedestrian Sensor Fusion (**cite**) investigates this further and attempts to imrove upon the results by fusing readings from multiple devices. In their studies, they were able to reduce the error in the heading readings by some 27% using only naive averaging, leaving room for improvement using more complex algorithms. MagPairing (**cite**) attempts to make use of the unique magnetic forces that a device will pick up in a given location. By tapping the phones, you move them close enough together that the magnetic fields picked up by each device are extremely similar. They are able to reliable pair devices together by encoding these readings with authentication keys and comparing similarly timestamped readings to verify the connection. Although, these do highlight how difficult and complex it can be to make these sensors accurate enough to be used as absolute locators, there is a lot that can be done by using them in a relative sense, especially as a form of gestural input. Not only can gestures be reliably recorded, but gestures made in 3D Space are also unique to every user. If two users made box like gestures over the phone, both of their gestures would be somewhat different. This is due to users not being able to reproduce each others gestures in 3D space within a certain threshold \cite{Sahami_Shirazi_2012}. As we are developing this application, we need to take into account this threshold to be able to recognize certain swipe gestures across all users. MagiMusic (**cite**) and Magnetic Marionette (**cite**) show that these gesture based movements are a lot more feasible with the magnetometer than absolute inputs. MagiMusic allows digitul instruments to be played by making gestures with a magnet, such as strumming a guitar. Magnetic Marionette introduces a tangible avatar attached to the device, which can be moved around to produce different facial expressions on the screen.