In this paper, we introduce a method for sensing intentional eyelid movement using an impulse radio ultra-wideband (IR-UWB) radar. Since it is the first step of the study, we assume that eyes are in the near-field and all the motions, except eyelid movement, are fixed. The measurement of eyelid movement can be utilized in a human computer interface or for the recognition of a driver's drowsiness. If the eyelids move up or down, the amplitude and frequency of radar signals change. We can observe these changes in a three-dimensional graph of raw radar data. Intentional eyelid movements produce some peaks or nulls on the graph. We used two methods to analyze the patterns of eyelid movement. Both methods involve fast Fourier transform (FFT) and exploit a pulse Doppler processing technique of radar signals. Thus, we can calculate the frequency of intentional eyelid movement using these methods. The calculated frequency corresponds to the number of peaks in the raw radar graph.
|Title of host publication||ICCAS 2017 - 2017 17th International Conference on Control, Automation and Systems - Proceedings|
|Publisher||IEEE Computer Society|
|Number of pages||4|
|Publication status||Published - 2017 Dec 13|
|Event||17th International Conference on Control, Automation and Systems, ICCAS 2017 - Jeju, Korea, Republic of|
Duration: 2017 Oct 18 → 2017 Oct 21
|Name||International Conference on Control, Automation and Systems|
|Other||17th International Conference on Control, Automation and Systems, ICCAS 2017|
|Country/Territory||Korea, Republic of|
|Period||17/10/18 → 17/10/21|
Bibliographical noteFunding Information:
This research was supported by the Ministry of Science and ICT (MSIT), Korea, under the ICT Consilience Creative Program (IITP-2017-2017-0-01015) supervised by the Institute for Information & Communications Technology Promotion (IITP).
© 2017 Institute of Control, Robotics and Systems - ICROS.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Science Applications
- Control and Systems Engineering
- Electrical and Electronic Engineering