원문정보
한국차세대컴퓨팅학회
한국차세대컴퓨팅학회 학술대회
The 10th International Conference on Next Generation Computing 2024
2024.11
pp.317-318
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
I. INTRODUCTION
II. FALL DETECTION SYSTEM
III. EXPERIMENTAL RESULTS
IV. CONCLUSIONS
ACKNOWLEDGMENT
REFERENCES
저자정보
참고문헌
자료제공 : 네이버학술정보