Details
| Original language | English |
|---|---|
| Pages (from-to) | 711-714 |
| Number of pages | 4 |
| Journal | Current Directions in Biomedical Engineering |
| Volume | 2 |
| Issue number | 1 |
| Publication status | Published - Sept 2016 |
Abstract
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.
Keywords
- Adaptive sampling, Event-based sampling, Human motion analysis, IMU, Inertial sensor networks, Send-on-area, Send-on-delta
ASJC Scopus subject areas
- Engineering(all)
- Biomedical Engineering
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In: Current Directions in Biomedical Engineering, Vol. 2, No. 1, 09.2016, p. 711-714.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Event-based sampling for reducing communication load in realtime human motion analysis by wireless inertial sensor networks
AU - Laidig, Daniel
AU - Trimpe, Sebastian
AU - Seel, Thomas
N1 - Publisher Copyright: © 2016 Daniel Laidig, Thomas Seel et al., licensee De Gruyter.
PY - 2016/9
Y1 - 2016/9
N2 - 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.
AB - 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.
KW - Adaptive sampling
KW - Event-based sampling
KW - Human motion analysis
KW - IMU
KW - Inertial sensor networks
KW - Send-on-area
KW - Send-on-delta
UR - http://www.scopus.com/inward/record.url?scp=85033993493&partnerID=8YFLogxK
U2 - 10.1515/cdbme-2016-0154
DO - 10.1515/cdbme-2016-0154
M3 - Article
VL - 2
SP - 711
EP - 714
JO - Current Directions in Biomedical Engineering
JF - Current Directions in Biomedical Engineering
IS - 1
ER -