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dc.contributor.advisorPines, Darryll Jen_US
dc.contributor.authorSpiridonov, Timofey N.en_US
dc.date.accessioned2011-07-06T05:34:32Z
dc.date.available2011-07-06T05:34:32Z
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/1903/11439
dc.description.abstractHuman gait dynamics were studied to aid the design of a robust personal navigation and tracking system for First Responders traversing a variety of GPS-denied environments. IMU packages comprised of accelerometers, gyroscopes, and magnetometer are positioned on each ankle. Difficulties in eliminating drift over time make inertial systems inaccurate. A novel concept for measuring relative foot distance via a network of RF Phase Modulation sensors is introduced to augment the accuracy of inertial systems. The relative foot sensor should be capable of accurately measuring distances between each node, allowing for the geometric derivation of a drift-free heading and distance. A simulation to design and verify the algorithms was developed for five subjects in different gait modes using gait data from a VICON motion capture system as input. These algorithms were used to predict the distance traveled up to 75 feet, with resulting errors on the order of one percent.en_US
dc.titleHuman Gait Based Relative Foot Sensing for Personal Navigationen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentAerospace Engineeringen_US
dc.subject.pqcontrolledAerospace Engineeringen_US
dc.subject.pqcontrolledEngineeringen_US
dc.subject.pqcontrolledKinesiologyen_US
dc.subject.pquncontrolledFirst Respondersen_US
dc.subject.pquncontrolledHuman Gaiten_US
dc.subject.pquncontrolledInertial Measurement Unit (IMU)en_US
dc.subject.pquncontrolledNavigationen_US
dc.subject.pquncontrolledRadio Frequency (RF)en_US
dc.subject.pquncontrolledRelative Foot Sensoren_US


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