%0 Generic
%A Ragel de la Torre, Ricardo
%A Rey Arcenegui, Rafael
%A Páez, Álvaro
%A Ponce Chulani, Javier
%A Nakamura, Keisuke
%A Caballero, Fernando
%A Merino, Luis
%A Gómez, Randy
%T Multi-modal data fusion for people perception in the social robot haru
%D 2023
%U https://hdl.handle.net/10433/23695
%X This article presents a people perception software architecture and its implementation, focused on the information of interest from the point of view of a social robot. The key modules employed to get the different people features, such as the body parts location, the face and hands information, and the speech, from a set of possible devices and configurations are described. The association and combination of these features using a temporal and geometric fusion system are explained in detail. A high-level interface for Human-Robot interaction using the resulting information from the fused people is proposed. The paper presents experimental results evaluating the relevant aspects of the system.
%K Social Robotics
%K Data Fusion
%K Human-Robot Interaction
%~