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Session IV : IoT

Pain Facial Expression for Patient Robot in Care and Nursing Training Environments

초록

영어

Care and nursing training (CNT) is to develop the ability to effectively respond to the needs by investigating patients' requests and improving trainee' care skills in a caring environment. Although conventional CNT program has been conducted based on videos, books, and role-playing, the best way is to practice on an actual human. However, it is challenging to recruit patients for training continually, and the patients may have experienced fatigue or boredom with iterative testing. As an alternative approach, a patient robot that reproduces various human diseases and provides feedback to trainees has been introduced. This study presents a patient robot that can express feelings of pain states like an actual human does in joint care education. The primary two objectives for the proposed patient robot-based care training system are (a) to infer the pain felt by the patient robot and intuitively provide the trainee with the patient's pain state, and (b) to provide the facial expressionbased visual feedback method of the patient robot for care training.

목차

Abstract
I. INTRODUCTION
II. ROBOT'S PAIN
III. PATIENT ROBOT AND PAIN INFERENCE
A. Patient robot with musculoskeletal symptoms
B. Pain inference
IV. GENERATION OF ROBOTIC PAIN EXPRESSION
A. Pain expression database
B. RU-PITENS-database avatars-based pain expression
V. EXPERIMENTS
A. Result of the questionnaire in RU-PITENS database
B. Testing of the patient robot with avatar-based pain expression
VI. DISCUSSION AND CONCLUSION
ACKNOWLEDGMENT
REFERENCES

저자정보

  • Miran Lee Dept. of Precision Engineering The University of Tokyo Tokyo, Japan
  • Deok-Hwan Kim Dept. of Electronic Engineering Inha University
  • Joo-Ho Lee College of Information Science and Engineering Ritsumeikan University

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