Mediacups: experience with design and use of computer-augmented everyday artefacts
Computer Networks: The International Journal of Computer and Telecommunications Networking - pervasive computing
Micro-Accelerometer Based Hardware Interfaces for Wearable Computer Mixed Reality Applications
ISWC '02 Proceedings of the 6th IEEE International Symposium on Wearable Computers
IEEE Transactions on Information Technology in Biomedicine
Embracing calibration in body sensing: using self-tweaking to enhance ownership and performance
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Characterising and minimising sources of error in inertial body sensor networks
International Journal of Autonomous and Adaptive Communications Systems
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In this paper, we present two methods for calibration of acceleration sensors that are inexpensive, in-situ, require minimum user interaction and are targeted to a broad set of acceleration sensor applications and devices. We overcome the necessity of orthogonal axes alignment by extending existing calibration methods with a non-orthogonal axes model. Our non-orthogonal method can furthermore be used to enable automatic calibration for 1- or 2-axes accelerometers or realize a simultaneous mass-calibration of sensors with minimum effort. The influence of noise to the presented calibration methods is analysed.