Wearable Affective Robot

With the development of the artificial intelligence (AI), the AI applications have influenced and changed people's daily life greatly. Here, a wearable affective robot that integrates the affective robot, social robot, brain wearable, and Wearable 2.0 is proposed for the first time. The propose...

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Bibliographic Details
Published in:IEEE access 2018, Vol.6, p.64766-64776
Main Authors: Chen, Min, Zhou, Jun, Tao, Guangming, Yang, Jun, Hu, Long
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Brain
Cognition
EEG
Emotion cognition
Hand tools
Hardware
Machine learning
Modelling
Personal digital assistants
RNN
Robots
Service robots
Social factors
social robot
Wearable 20
Wearable technology
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Summary:With the development of the artificial intelligence (AI), the AI applications have influenced and changed people's daily life greatly. Here, a wearable affective robot that integrates the affective robot, social robot, brain wearable, and Wearable 2.0 is proposed for the first time. The proposed wearable affective robot is intended for a wide population, and we believe that it can improve the human health on the spirit level, meeting the fashion requirements at the same time. In this paper, the architecture and design of an innovative wearable affective robot, which is dubbed as Fitbot, are introduced in terms of hardware and algorithm's perspectives. In addition, the important functional component of the robot-brain wearable device is introduced from the aspect of the hardware design, EEG data acquisition and analysis, user behavior perception, and algorithm deployment. Then, the EEG-based cognition of user's behavior is realized. Through the continuous acquisition of the in-depth, in-breadth data, the Fitbot we present can gradually enrich user's life modeling and enable the wearable robot to recognize user's intention and further understand the behavioral motivation behind the user's emotion. The learning algorithm for the life modeling embedded in Fitbot can achieve better user's experience of affective social interaction. Finally, the application service scenarios and some challenging issues of a wearable affective robot are discussed.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2018.2877919