Paper Info
Title
AI-enabled emotion-aware robot: The fusion of smart clothing, edge clouds and robotics
Abstract
Mental health has become a severe problem that significantly influences people’s living quality. With the rapid development of science and technology, a completely new direction for mental health improving by using the interaction between robots and people has emerged. As an intelligent personal agent, a robot can be easily accepted in people’s daily life, meeting users’ behavior and mental demands to a certain extent. Nevertheless, the existing robot design is very limited, and a household personal robot is too large to be carried anywhere . The usage of wearable devices is simple, but these devices cannot offer diversified services. Therefore, this paper puts forward an emotion-aware system that integrates a personal robot, smart clothing, and cloud terminal. A new ’people-centered’ emotion-interaction mode is realized. Namely, personal robot and smart clothing supplement each other seamlessly and interact jointly with users . Artificial intelligence technology and knowledge graph are used to design emotion perception and interaction algorithms including intelligent recommendation, relation recognition, emotional expression recognition. Also, different scenarios are analyzed . Finally, a testbed is built to carry out relevant tests to verify the effectiveness of the proposed algorithms and emotion-aware system. According to the obtained test results, the system can be widely used to serve people and improve people’s mental health.
Year
DOI
Venue
2020
10.1016/j.future.2019.09.029
Future Generation Computer Systems
Keywords
Field
DocType
Artificial intelligence,Emotion-aware,Personal robot,Smart clothing
Computer science,Personal robot,Clothing,Testbed,Emotion perception,Human–computer interaction,Artificial intelligence,Robot,Wearable technology,Robotics,Distributed computing,Cloud computing
Journal
Volume
ISSN
Citations 
102
0167-739X
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Jun Yang1375.27
Rui Wang211122.06
Xin Guan370.98
Mohammad Mehedi Hassan428231.81
ahmad almogren527435.54
Ahmed Alsanad683.24