Paper Info
Title
Activity recognition in a physical interactive robogame.
Abstract
In this paper, we investigate the possibility of human physical activity recognition in a robot game scenario. Being able to recognize types of activity is essential to enable robot behavior adaptation to support player engagement. Also, the introduction of this recognition system will allow for development of better models for prediction, planning and problem solving in PIRGs that can foster human-robot interaction. The experiments reported on this paper were performed on data collected from real in-game activity, where a human player faces a mobile robot. We use a custom single tri-axial accelerometer module attached to the player's chest in order to capture motion information. The main characteristic of our approach is the extraction of features from patterns found on the motion variance rather than on raw data. Furthermore, we allow for the recognition of unconstrained motion given that we do not ask the players to perform target activities before hand: all detectable activities are derived from the free player motion during the game itself. To the best of our knowledge, this is the first paper to consider activity recognition in a physical interactive robogame.
Year
Venue
Field
2017
Joint IEEE International Conference on Development and Learning and Epigenetic Robotics ICDL-EpiRob
Microsoft Windows,Activity recognition,Ask price,Accelerometer,Computer science,Raw data,Human–computer interaction,Behavior-based robotics,Robot,Mobile robot
DocType
ISSN
Citations 
Conference
2161-9484
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Ewerton L. S. Oliveira110.70
Davide Orrù221.05
Tiago Pereira do Nascimento35712.57
Andrea Bonarini462376.73