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Stroke Signs Detection System by SNS Agency Robot

Takao Kobayashi, Kenichi Arai, Toru Imai, K Kuriyama, Shinichiro Ichimaru, Takahiro Watanabe

Year
2020
Citations
2

Abstract

This paper proposes a system which implements the Cincinnati Prehospital Stroke Scale (CPSS), the widely used screening method for the initial symptoms of a stroke, in a communication robot. AI on cloud analyses an acquired video through a conversation with the robot in real time and automatically determines the abnormalities. The judgement result is informed to his/her families by SNS. This study implemented two of the three CPSS scales such as “Arms” and “Speech”, we confirmed that the system enables to acquire, analyze and notify the information in real time.

Keywords

RobotAgency (philosophy)Computer scienceStroke (engine)Artificial intelligenceEngineering

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