Cited 0 time in webofscience Cited 2 time in scopus

An Experiment of Human Presence and Movement using Impulse Radar and Machine Learning

Title
An Experiment of Human Presence and Movement using Impulse Radar and Machine Learning
Authors
Park, Young-JinCho, Hui-Sup
DGIST Authors
Park, Young-Jin; Cho, Hui-Sup
Issue Date
2019-10-16
Citation
10th International Conference on Information and Communication Technology Convergence, ICTC 2019, 12-17
Type
Conference
ISBN
9781728108926
ISSN
2162-1233
Abstract
Research and product development using machine-learning technology is ongoing worldwide. It is especially active in the field of predicting a person’s activity. In this paper, a person’s presence and movement are determined through machine learning by using radar signals. The preprocessing stage of receiving and processing radar signals produces a basic dataset. Next, we create a machine-learning model and conduct a prediction experiment with four test-sets that is created for this paper. Experiments conducted in this study showed a high level of classification accuracy. However, data sets, pre-treated only by classification of signals, seemed to be quite sensitive to the quality of the data when used as a feature of machine learning.
URI
http://hdl.handle.net/20.500.11750/11436
DOI
10.1109/ICTC46691.2019.8939858
Publisher
한국통신학회
Files:
There are no files associated with this item.
Collection:
Division of Electronics & Information System2. Conference Papers


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE