| Publication Type |
Conference Paper |
| Authors |
Adrian Derungs, Han Lin, Holger Harms, Oliver Amft |
| Title |
Motion-adaptive duty-cycling to estimate orientation using inertial sensors |
| Abstract |
We present a motion-adaptive duty-cycling approach to estimate orientation using inertial sensors. In particular, we deploy a proportional forward-controller to adjust the duty-cycle of inertial sensing units (IMU) and the orientation estimation update rate of an extended Kalman filter (EKF). In sample data recordings and a simulated daily life dataset from a wrist-worn IMU, we show that our motion-adaptive approach incurs substantially lower errors that a static duty-cycling approach. During phases with low or no rotation motion, as it is often occurring in daily activities, our approach can dynamically reduce the IMU operation to 20% of the regular rate. Results show that duty-cycles of 50% are common during low-wrist rotation activities, such as reading and typing, while orientation error is below 1$\degree$. We further show the power saving benefits of our approach in a case study of the ETHOS IMU device. |
| Date |
2014 |
| Proceedings Title |
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops |
| Publisher |
IEEE |
| Pages |
47–54 |
| Series |
PerCom Workshops |
| DOI |
10.1109/PerComW.2014.6815163 |
| Extra |
1st Symposium on Activity and Context Modeling and Recognition (ACOMORE) |
| Full Text |
PDF |
