情報科学研究科博士後期課程に在学中のブラヒム・ワリドさんたちが、IEEE Smart World Congress 2023でBest Student Paper Awardを受賞しました。

Walid BRAHIM, Hosei University, 1st year of Doctoral Course of Computer and Information Sciences, was awarded Best Student Paper Award at IEEE Smart World Congress 2023.

受賞情報

学会名/Conference Name

IEEE Smart World Congress 2023

学会開催期間/Conference Period

2023年8月28日～31日/28-31 Aug 2023

発表日および受賞日/Presentation and Awarded Date

2023年8月30日/30 Aug 2023

会場/Conference Venue

University of Portsmouth, UK

論文題目/Paper’s title

FMCW Radar-Enabled Eyeblink Detection: An AVMD-Based Solution

著者/Authors

Walid BRAHIM, 法政大学情報科学研究科博士後期課程1年/Hosei University, 1st year of Doctoral Course of Computer and Information Sciences
Xinze ZHANG, 法政大学情報科学研究科修士課程2年/Hosei University, 2nd year of Master’s Course of Computer and Information Sciences
Jianhua MA, 法政大学情報科学部教授/Professor of Hosei University, Faculty of Computer and Information Sciences

Eyeblink detection and analysis are essential in various applications, including human-computer interaction, driver fatigue and drowsiness monitoring, and medical diagnostics. This study proposes a non-invasive technique for eyeblink detection using frequency-modulated continuous-wave (FMCW) radar and adaptive variational mode decomposition (AVMD). Our methodology relies on investigating the impact of subtle motions such as cardiopulmonary activities and head movements by designing a set of targeted experiments and proposing an AVMD-based signal processing solution to mitigate the impact of these interferences and improve blink signal detectability. The experimental results showcase the efficacy and robustness of the proposed method, attaining an F1-score of 93.8% for distances between 25 and 100 cm. These findings emphasize the potential of FMCW radar and AVMD in advanced eyeblink detection and evaluation.