@article {seiter2014rehabilitation,
	title = {Daily Life Activity Routine Discovery in Hemiparetic Rehabilitation Patients Using Topic Models},
	journal = {Methods of Information in Medicine},
	year = {In Press},
	issn = {1574-1192},
	author = {Julia Seiter and Adrian Derungs and Corina Schuster-Amft and Oliver Amft and Gerhard Tr{\"o}ster}
}
@conference {Derungs2014-P_ACOMORE,
	title = {Motion-adaptive Duty-cycling to Estimate Orientation using Inertial Sensors},
	booktitle = {ACOMORE 2014: IEEE International Conference on Pervasive Computing and Communications Workshops},
	series = {PerCom Workshops},
	year = {2014},
	note = {1st Symposium on Activity and Context Modeling and Recognition},
	pages = {47{\textendash}54},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {<p>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\&nbsp;(IMU) and the orientation estimation update rate of an extended Kalman filter\&nbsp;(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.</p>
},
	doi = {10.1109/PerComW.2014.6815163},
	author = {Adrian Derungs and Han Lin and Holger Harms and Oliver Amft}
}
