Event-based sampling for reducing communication load in realtime human motion analysis by wireless inertial sensor networks
We examine the usefulness of event-based sampling approaches for reducing communication in inertial-sensor-based analysis of human motion. To this end we consider realtime measurement of the knee joint angle during walking, employing a recently developed sensor fusion algorithm. We simulate the effe...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2016-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2016-0154 |
| _version_ | 1819125844854964224 |
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| author | Laidig Daniel Trimpe Sebastian Seel Thomas |
| author_facet | Laidig Daniel Trimpe Sebastian Seel Thomas |
| author_sort | Laidig Daniel |
| collection | DOAJ |
| description | We examine the usefulness of event-based sampling approaches for reducing communication in inertial-sensor-based analysis of human motion. To this end we consider realtime measurement of the knee joint angle during walking, employing a recently developed sensor fusion algorithm. We simulate the effects of different event-based sampling methods on a large set of experimental data with ground truth obtained from an external motion capture system. This results in a reduced wireless communication load at the cost of a slightly increased error in the calculated angles. The proposed methods are compared in terms of best balance of these two aspects. We show that the transmitted data can be reduced by 66% while maintaining the same level of accuracy. |
| first_indexed | 2024-12-22T07:46:36Z |
| format | Article |
| id | doaj.art-cf8f0fb6af794f0ab27a88294226a349 |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-12-22T07:46:36Z |
| publishDate | 2016-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-cf8f0fb6af794f0ab27a88294226a3492022-12-21T18:33:38ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042016-09-012171171410.1515/cdbme-2016-0154cdbme-2016-0154Event-based sampling for reducing communication load in realtime human motion analysis by wireless inertial sensor networksLaidig Daniel0Trimpe Sebastian1Seel Thomas2Control Systems Group, TU Berlin,GermanyMax Planck Institute for Intelligent Systems, Tübingen,GermanyControl Systems Group, TU Berlin,GermanyWe examine the usefulness of event-based sampling approaches for reducing communication in inertial-sensor-based analysis of human motion. To this end we consider realtime measurement of the knee joint angle during walking, employing a recently developed sensor fusion algorithm. We simulate the effects of different event-based sampling methods on a large set of experimental data with ground truth obtained from an external motion capture system. This results in a reduced wireless communication load at the cost of a slightly increased error in the calculated angles. The proposed methods are compared in terms of best balance of these two aspects. We show that the transmitted data can be reduced by 66% while maintaining the same level of accuracy.https://doi.org/10.1515/cdbme-2016-0154adaptive samplingevent-based samplinghuman motion analysisimuinertial sensor networkssend-on-areasend-on-delta |
| spellingShingle | Laidig Daniel Trimpe Sebastian Seel Thomas Event-based sampling for reducing communication load in realtime human motion analysis by wireless inertial sensor networks Current Directions in Biomedical Engineering adaptive sampling event-based sampling human motion analysis imu inertial sensor networks send-on-area send-on-delta |
| title | Event-based sampling for reducing communication load in realtime human motion analysis by wireless inertial sensor networks |
| title_full | Event-based sampling for reducing communication load in realtime human motion analysis by wireless inertial sensor networks |
| title_fullStr | Event-based sampling for reducing communication load in realtime human motion analysis by wireless inertial sensor networks |
| title_full_unstemmed | Event-based sampling for reducing communication load in realtime human motion analysis by wireless inertial sensor networks |
| title_short | Event-based sampling for reducing communication load in realtime human motion analysis by wireless inertial sensor networks |
| title_sort | event based sampling for reducing communication load in realtime human motion analysis by wireless inertial sensor networks |
| topic | adaptive sampling event-based sampling human motion analysis imu inertial sensor networks send-on-area send-on-delta |
| url | https://doi.org/10.1515/cdbme-2016-0154 |
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