Earticle

초록

영어

Since there is an invasion of privacy of elderly people's falls through cameras, we propose a fall detection system using millimeter wave (mmWave) sensors. To detect falls of the elderly, the system uses mmWave sensor data preprocessed with histogram of oriented gradient (HOG) followed by training and inference with a long short-term memory (LSTM) model. The fall detection rate tested using this system is very high at 95.4%.

목차

Abstract
I. INTRODUCTION
II. FALL DETECTION SYSTEM
III. EXPERIMENTAL RESULTS
IV. CONCLUSIONS
ACKNOWLEDGMENT
REFERENCES

저자

• Sungjo Wi [ ICT&Robotics Eng. Hankyong National University ]
• Hojin Lee [ ICT&Robotics Eng. Hankyong National University ]
• Jeongwoo Lee [ ICT&Robotics Eng. Hankyong National University ]
• Hyung-Kun Park [ School of Electrical, Electronics & Communication Eng. Koreatech ]
• Nam Ho Kim [ Dept. of AI Application Software Bundang Convergence Technology Campus of Korea Polytechnic Seonganm, Rep. of Korea ]
• Yun Seop Yu [ ICT&Robotics Eng. Hankyong National University ] Corresponding Author

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