Paper Info
Title
Cognition-Based Context-Aware Cloud Computing for Intelligent Robotic Systems in Mobile Education.
Abstract
At present, artificial intelligence (AI) has made considerable progress in recognition of speech, face, and emotion. Potential application to robots could bring significant improvement on intelligent robotic systems. However, limited resource on robots cannot satisfy the large-scale computation and storage that the AI recognition requires. Cloud provides an efficient way for robots, where they off-load the computation too. Therefore, we present a cognition-based context-aware cloud computing framework, which is designed to help robot's sense environments including user's emotions. Based on the recognized context information, robots could optimize their responses and improve the user's experience on interaction. The framework contains a customizable context monitoring system on the mobile end to collect and process the data from the robot's sensors. Besides, it integrates various AI recognition services in the cloud to extract the context facts by analyzing and understanding the data. Once the context data is extracted, the results are pushed back to mobile end for making a better decision in the next interactions. In this paper, we demonstrate and evaluate the framework by a real case, an educational mobile app for English learning. The results show that the proposed framework could significantly improve the interaction and intelligence of mobile robots.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2867880
IEEE ACCESS
Keywords
Field
DocType
Emotion recognition,context-aware,intelligent robotic system,cloud computing,mobile education
Robotic systems,Facial recognition system,Computer science,Human–computer interaction,Cognition,Robot,Mobile robot,Semantics,Cloud computing,Distributed computing,Computation
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Jianbo Zheng101.01
Qieshi Zhang200.34
Shihao Xu394.88
Hong Peng43513.27
Qin Wu53516.27