TY  - JOUR
AU  - Young-Jin Park
AU  - Hui-Sup Cho
TI  - A Method for Detecting Human Presence and Movement Using Impulse Radar
JO  - Advances in Science, Technology and Engineering Systems Journal
PY  - 2020
VL  - 5
IS  - 4
SP  - 770
EP  - 775
DO  - 10.25046/aj050491
UR  - https://www.astesj.com/v05/i04/p91/
L1  - https://www.astesj.com/?sdm_process_download=1&download_id=15641
AB  - <p style="text-align: justify;">Using non-invasive and non-contact sensors to measure a person’s presence or movement helps improve the quality of life for both healthy people and patients. In this paper, a method of measuring the presence and motion of a person is proposed by utilizing UWB Impulse Radar, which is low power consumption and safe to radiate to the human body. The experimental stage of this study is divided into the stage of extracting features by signal processing from radar signals, the stage of generating datasets with 3~6 kinds of labels, and the stage of performing and verifying machine learning by imaging. In this experiment, a small number of images were used because only good quality signals were selected and used by radiating radar signals to the human body. The experiment result show high accuracy when using neural networks such as GoogLeNet and SqueezeNet. Experiments in this study confirmed that radar signals could be used to detect human presence and motion as a result of studies using the proposed method.</p>
KW  - UWB Impulse Radar
KW  - Machine Learning
KW  - Human Detecting
KW  - Noncontact measurement
ER  -