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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
ITC-CSCC 2019
Type
Conference
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.
URI
http://hdl.handle.net/20.500.11750/14412
Publisher
IEIE
Files:
There are no files associated with this item.
Collection:
Division of Electronics & Information System2. Conference Papers


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