Show simple item record

dc.contributor.advisorAbowd, Gregory D.
dc.contributor.authorLal, Anmol
dc.date.accessioned2019-02-12T14:42:57Z
dc.date.available2019-02-12T14:42:57Z
dc.date.created2018-12
dc.date.submittedDecember 2018
dc.identifier.urihttp://hdl.handle.net/1853/60886
dc.description.abstractSmartwatches have been readily available in markets for more than 5 years. However, smartwatches today continue to use input modalities such as touch screens, which are suitable for smartphones, but provide problems when used with small screens, such as that of a watch. Since providing input from smartwatches is cumbersome, they are used as mere extensions of smartphones. This paper presents a method to gather a continuous stream of data collected by inertial sensors of a smartwatch and smartphone to recognize different gestures as input for a smartwatch. Typical smartwatch sensors will gather data that includes movement not only of the wrist, but also that of the body. By using sensors on the phone to get the orientation of the body, the wrist-worn sensors can be used to capture the movement of the wrist relative to the body without being affected by the movement of the body. The accuracy of the calculated orientation of the wrist with respect to the body is tested and the application of the system are further discussed.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technology
dc.subjectWrist-worn wearables
dc.subjectSmartwatches
dc.subjectGesture detection
dc.subjectContinuous input
dc.subjectInertial sensors
dc.titleContinuous Input for Gesture Detection from Wrist-Worn Wearables
dc.typeUndergraduate Research Option Thesis
dc.description.degreeUndergraduate
dc.contributor.departmentComputer Science
thesis.degree.levelUndergraduate
dc.contributor.committeeMemberPlotz, Thomas
dc.contributor.committeeMemberZhao, Yuhui
dc.date.updated2019-02-12T14:42:57Z


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record