Learning to Detect Pointing Gestures from Wearable IMUs

Denis Broggini, Boris Gromov, Alessandro Giusti, Luca Maria Gambardella

AAAI 2018 pp. 8051-8052

doi:10.1609/AAAI.V32I1.12143 /aaai/2018/broggini2018aaai-learning/

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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Cite

Text

Broggini et al. "Learning to Detect Pointing Gestures from Wearable IMUs." AAAI Conference on Artificial Intelligence, 2018. doi:10.1609/AAAI.V32I1.12143

Markdown

[Broggini et al. "Learning to Detect Pointing Gestures from Wearable IMUs." AAAI Conference on Artificial Intelligence, 2018.](https://mlanthology.org/aaai/2018/broggini2018aaai-learning/) doi:10.1609/AAAI.V32I1.12143

BibTeX

@inproceedings{broggini2018aaai-learning,
  title     = {{Learning to Detect Pointing Gestures from Wearable IMUs}},
  author    = {Broggini, Denis and Gromov, Boris and Giusti, Alessandro and Gambardella, Luca Maria},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {8051-8052},
  doi       = {10.1609/AAAI.V32I1.12143},
  url       = {https://mlanthology.org/aaai/2018/broggini2018aaai-learning/}
}