The Influence of Speed and Position in Dynamic Gesture Recognition for Human-Robot Interaction
Joint Authors
Castillo, José Carlos
Malfaz, María
Salichs, Miguel A.
Alonso-Martín, Fernando
Cáceres-Domínguez, David
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-12
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Human communication relies on several aspects beyond the speech.
One of them is gestures as they express intentions, interests, feelings, or ideas and complement the speech.
Social robots need to interpret these messages to allow a more natural Human-Robot Interaction.
In this sense, our aim is to study the effect of position and speed features in dynamic gesture recognition.
We use 3D information to extract the user’s skeleton and calculate the normalized position for all of its joints, and using the temporal variation of such positions, we calculate their speeds.
Our three datasets are composed of 1355 samples from 30 users.
We consider 14 common gestures in HRI involving upper body movements.
A set of classification techniques is evaluated testing these three datasets to find what features perform better.
Results indicate that the union of both speed and position achieves the best results among the three possibilities, 0.999 of F-score.
The combination that performs better to detect dynamic gestures in real time is finally integrated in our social robot with a simple HRI application to run a proof of concept test to check how the proposal behaves in a realistic scenario.
American Psychological Association (APA)
Castillo, José Carlos& Alonso-Martín, Fernando& Cáceres-Domínguez, David& Malfaz, María& Salichs, Miguel A.. 2019. The Influence of Speed and Position in Dynamic Gesture Recognition for Human-Robot Interaction. Journal of Sensors،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1191474
Modern Language Association (MLA)
Castillo, José Carlos…[et al.]. The Influence of Speed and Position in Dynamic Gesture Recognition for Human-Robot Interaction. Journal of Sensors No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1191474
American Medical Association (AMA)
Castillo, José Carlos& Alonso-Martín, Fernando& Cáceres-Domínguez, David& Malfaz, María& Salichs, Miguel A.. The Influence of Speed and Position in Dynamic Gesture Recognition for Human-Robot Interaction. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1191474
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191474