Towards human motion capturing using gyroscopeless orientation estimation

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.