Human Push-Recovery: Strategy Selection Based on Push Intensity Estimation

نویسندگان

  • Lukas Kaul
  • Tamim Asfour
چکیده

We present methods for extracting a fast indicator for push-recovery strategy selection from the data of an inertial measurement unit mounted on a human or humanoid torso. The methods serve the purposes of detecting the beginning, the direction and intensity of the push as well as predicting the feasible recovery strategy. We test our methods on a dataset of 78 push-recovery trials collected with a human subject and show the relation between push intensity and recovery strategy.

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تاریخ انتشار 2016