Inertial Head-Tracker Sensor Fusion by a Complimentary Separate-Bias Kalman Filter
VRAIS '96 Proceedings of the 1996 Virtual Reality Annual International Symposium (VRAIS 96)
A Compact, Wireless, Wearable Sensor Network for Interactive Dance Ensembles
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
AWearableWireless Sensor Platform for Interactive Dance Performances
PERCOM '06 Proceedings of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications
Eco: an ultra-compact low-power wireless sensor node for real-time motion monitoring
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
Visual tracking using sensor networks
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
An immune-inspired approach to speckled computing
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Comparative study of segmentation of periodic motion data for mobile gait analysis
WH '10 Wireless Health 2010
Wireless monitoring of post-operative respiratory complications
Proceedings of the 2nd Conference on Wireless Health
From posture to motion: the challenge for real time wireless inertial motion capture
Proceedings of the Fifth International Conference on Body Area Networks
Proceedings of the 12th international conference on Information processing in sensor networks
Latent space segmentation for mobile gait analysis
ACM Transactions on Embedded Computing Systems (TECS) - Special Section on Wireless Health Systems, On-Chip and Off-Chip Network Architectures
A generic approach to inertial tracking of arbitrary kinematic chains
BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
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A realtime posture tracking system has been developed using a network of compact wireless sensor devices worn by the user. Each device is a complete inertial/magnetic tracking unit which performs in situ orientation estimation based on its own sensor readings, using a complementary quaternion-based filter. Compared to existing systems which transmit raw sensor data to a PC for processing, it is shown that this technique reduces bandwidth requirements by 79% for typical usage. In combination with a time division multiple access scheme, this reduction allows for full-body tracking using 15 devices at a 64Hz update rate through a single 250kbps receiver. The data is applied to a rigid body model of the subject to provide a realtime display, and can be exported for use in major animation packages.