Publication: Personal inertial navigation system employing MEMS wearable ground reaction sensor array and interface ASIC achieving a position accuracy of 5.5m over 3km walking distance without GPS
dc.contributor.author | Guo, Q. | |
dc.contributor.author | Deng, W. | |
dc.contributor.author | Bebek, Özkan | |
dc.contributor.author | Çavusoglu, C. | |
dc.contributor.author | Mastrangelo, C. | |
dc.contributor.author | Young, D. | |
dc.contributor.department | Mechanical Engineering | |
dc.contributor.ozuauthor | BEBEK, Özkan | |
dc.date.accessioned | 2018-09-25T08:42:14Z | |
dc.date.available | 2018-09-25T08:42:14Z | |
dc.date.issued | 2018 | |
dc.description.abstract | An accurate personal inertial navigation system under GPS-denied environment is highly critical for demanding applications such as firefighting, rescue missions, and military operations. Location-aware computation for large-area mixed reality also calls for accurate personal position tracking. Position calculation can be accomplished by using an inertial measurement unit (IMU) composed of a 3-axis accelerometer, 3-axis gyroscope, and 3-axis magnetometer. A gyroscope and magnetometer together can provide the orientation information, while the displacement can be obtained by integrating the acceleration data over time. A MEMS-based IMU is attractive for its small size, low power and low cost. However, such devices exhibit a limited accuracy, large offset, and time drift, which can result in an excessive position error over time. To achieve high-performance navigation, it is critical to accurately reset the IMU time-integration during each step when the foot contacts the ground. Furthermore, correcting the IMU inherent inaccuracy, bias, and time drift becomes important for improving system performance. | en_US |
dc.identifier.doi | 10.1109/ISSCC.2018.8310243 | en_US |
dc.identifier.endpage | 182 | en_US |
dc.identifier.isbn | 978-1-5090-4940-0 | |
dc.identifier.issn | 0193-6530 | en_US |
dc.identifier.scopus | 2-s2.0-85046455055 | |
dc.identifier.startpage | 180 | en_US |
dc.identifier.uri | http://hdl.handle.net/10679/5969 | |
dc.identifier.uri | https://doi.org/10.1109/ISSCC.2018.8310243 | |
dc.identifier.volume | 61 | en_US |
dc.identifier.wos | 000459205600070 | |
dc.language.iso | eng | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | IEEE | |
dc.relation.ispartof | 2018 IEEE International Solid - State Circuits Conference - (ISSCC) | |
dc.relation.publicationcategory | International | |
dc.rights | restrictedAccess | |
dc.subject.keywords | Sensor arrays | en_US |
dc.subject.keywords | Inertial navigation | en_US |
dc.subject.keywords | Micromechanical devices | en_US |
dc.subject.keywords | Electrodes | en_US |
dc.title | Personal inertial navigation system employing MEMS wearable ground reaction sensor array and interface ASIC achieving a position accuracy of 5.5m over 3km walking distance without GPS | en_US |
dc.type | conferenceObject | en_US |
dspace.entity.type | Publication | |
relation.isOrgUnitOfPublication | daa77406-1417-4308-b110-2625bf3b3dd7 | |
relation.isOrgUnitOfPublication.latestForDiscovery | daa77406-1417-4308-b110-2625bf3b3dd7 |
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