Cited 0 time in webofscience Cited 2 time in scopus

Detecting Human Movement during Vital Sign Measurement using Heterogeneous Sensors

Title
Detecting Human Movement during Vital Sign Measurement using Heterogeneous Sensors
Authors
Park, Young-JinCho, Hui-Sup
DGIST Authors
Park, Young-Jin; Cho, Hui-Sup
Issue Date
2019-06-24
Citation
34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019
Type
Conference
ISBN
9781728132716
Abstract
Research on the detection of human movement by using accelerometers, gyroscopes, etc. is steadily progressing. These sensors function by setting a specific threshold value for a given movement. However, it is difficult to measure the distance travelled by humans or their position with the sensor alone. This paper explores a method of detecting human movement using machine learning on a UWB impulse radar and information from a AHRS sensor while measuring respiration, thereby offering a method that simultaneously uses data from two heterogeneous sensors during the measurement of respiration. © 2019 IEEE.
URI
http://hdl.handle.net/20.500.11750/10635
DOI
10.1109/ITC-CSCC.2019.8793461
Publisher
Institute of Electrical and Electronics Engineers Inc.
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