Learning to Detect Pointing Gestures From Wearable IMUs

Authors

  • Denis Broggini Dalle Molle Institute for Artificial Intelligence (IDSIA)
  • Boris Gromov Dalle Molle Institute for Artificial Intelligence (IDSIA)
  • Alessandro Giusti Dalle Molle Institute for Artificial Intelligence (IDSIA)
  • Luca Gambardella Dalle Molle Institute for Artificial Intelligence (IDSIA)

Abstract

We propose a learning-based system for detecting when a user performs a pointing gesture, using data acquired from IMU sensors, by means of a 1D convolutional neural network. We quantitatively evaluate the resulting detection accuracy, and discuss an application to a human-robot interaction task where pointing gestures are used to guide a quadrotor landing.

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Published

2018-04-29

How to Cite

Broggini, D., Gromov, B., Giusti, A., & Gambardella, L. (2018). Learning to Detect Pointing Gestures From Wearable IMUs. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/12143