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Towards human motion capturing using gyroscopeless orientation estimation

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2 Author(s)
Blanke, U. ; Comput. Sci., Tech. Univ. Darmstadt, Darmstadt, Germany ; Schiele, B.

Current systems for motion capturing based on inertial measurement incorporate several powerhungry sensor modalities to accurately estimate the sensor's orientation. To drive motion capturing towards longterm applications, we use a reduced sensor setting based on accelerometers and magnetometers only to estimate orientation. We analyze this setting in real world conditions and provide results on initial experiments using a naturalistic dataset.

Published in:

Wearable Computers (ISWC), 2010 International Symposium on

Date of Conference:

10-13 Oct. 2010