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)
Pedestrian Tracking with Shoe-Mounted Inertial Sensors
IEEE Computer Graphics and Applications
HeadSLAM - simultaneous localization and mapping with head-mounted inertial and laser range sensors
ISWC '08 Proceedings of the 2008 12th IEEE International Symposium on Wearable Computers
Activity recognition from accelerometer data
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
Location and Navigation Support for Emergency Responders: A Survey
IEEE Pervasive Computing
Results from German research project I-LOV
Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief
New technologies for the search of trapped victims
Ad Hoc Networks
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Previous studies show that inertial sensor-based personal positioning benefited from Zero Velocity Update ZUPT method by resetting the foot speed at every foot step. However, only the solution for normal pedestrian movement with small velocity like walking was given. This paper presents a novel ZUPT system which can be used in a wide range of human activities, including walking, running, and stair climbing by using two inertial measurement unit IMU modules. One is attached on the centre of the human body for human activities' classification and recognition. The other one is mounted on the foot for ZUPT algorithm implementation based on the result of activities' recognition. Test cases include stair climbing by walking and running, walking, fast walking, and running. In all cases, most of the steps are able to be detected and the new ZUPT system can be successfully implemented.