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Reliably Segmenting Motion Reversals of a Rigid-IMU Cluster Using Screw-Based Invariants

Rakesh Krishnan, Silvia Cruciani, Elena M. Gutierrez-Farewik, Niclas Björsell, Christian Smith

发表年份
2018
引用次数
5

摘要

Human-robot interaction (HRI) is moving towards the human-robot synchronization challenge. In robots like exoskeletons, this challenge translates to the reliable motion segmentation problem using wearable devices. Therefore, our paper explores the possibility of segmenting the motion reversals of a rigid-IMU cluster using screw-based invariants. Moreover, we evaluate the reliability of this framework with regard to the sensor placement, speed and type of motion. Overall, our results show that the screw-based invariants can reliably segment the motion reversals of a rigid-IMU cluster.

关键词

Computer visionInertial measurement unitArtificial intelligenceRobotComputer scienceMotion (physics)Cluster (spacecraft)SegmentationScrew theorySynchronization (alternating current)

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