Learning to Detect Pointing Gestures From Wearable IMUs
DOI:
https://doi.org/10.1609/aaai.v32i1.12143Abstract
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). https://doi.org/10.1609/aaai.v32i1.12143
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