A two-step identification method for human-robot interaction in assistive environments

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Conference Proceedings (fully refereed)
A. Lioulemes, N. Sarafianos, T. Giannakopoulos & V. Karkaletsis
Integrating robotic platforms in smart home environments can improve the monitoring quality of daily activities. In this study, we explore a scenario where a robot provides a service to the users, which in our case is delivering a cup of coffee. The users place their order via an application, which at the same time captures a short video from their upper-body and their face to obtain information about their identity and to recognize them during the delivery phase. The proposed approach comprises three distinct steps. At a first step the robot detects groups of people, then it captures information from their faces and their upper body and measures the distance with the probe and identifies the person with the higher probability. Finally it approaches this person, performs an additional identification and delivers the cup of coffee. Through real-time preliminary tests under different illumination conditions, we verified that the robot can execute the task with high accuracy.
Computational Intelligence Laboratory (CIL)
Software and Knowledge Engineering Laboratory (SKEL)
Conference Short Name: 
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8th ACM International Conference on PErvasive Technologies Related to Assistive Environments
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Conference Date(s): 
Wed, 01/07/2015 - Fri, 03/07/2015
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