Published October 10, 2021
| Version v2
Conference paper
Open
Recognizing Italian Gestures with Wearable Sensors
Description
For humans, gestures are a means of commu-
nication. In order to create a more spontaneous interaction
between humans and robots, social robots should be able to
understand the information we convey with gestures. To this aim,
(i) we collected a dataset with 1469 examples of twelve common
Italian hand-gestures using a custom-made inertial glove, via
experiments organized as human-robot interactions, and (ii) we
propose an offline gesture recognition model based on a Long-
Short Term Memory (LSTM) Recurrent Neural Network (RNN),
which achieved an overall accuracy equal to 87.0 ± 3.7%.