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+---
+title:  EMBC 2025で発表を行いました
+description: 院生2名が研究内容を発表しました。
+date: 2025/07/17
+---
+
+7月14日から17日に、デンマーク、コペンハーゲンで開催された
+47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society（EMBC2025）にて、院生2名が研究内容を発表しました。
+
+
+## 発表内容
+
+## Development of a Context-Aware Just-in-Time Adaptive Intervention for Promoting Physical Activity
+
+Takahiro Okada, Otoha Mitsumatsu, Jerome C. Foo, Yusuke Yamamoto, Jinhyuk Kim
+
+Maintaining regular physical activity (PA) is difficult, but individually tailored just-in-time adaptive intervention (JITAI) is known to be effective in increasing PA 
+levels. Here, we developed and evaluated a JITAI system that uses individual contexts (e.g., weather, daily schedule, and mood) to promote PA. The system delivers personalized messages considering individual contexts when PA declines. A controlled trial showed context-aware JITAI was more effective than no-context JITAI for maintaining PA. 
+
+![embc25_okada1](/img/embc25_okada1.png)
+
+![embc25_okada2](/img/embc25_okada2.png)
+
+
+## Machine Learning Approach to Predicting Psychological Stress Using Biological Data in Daily Life
+
+Otoha Mitsumatsu, Takahiro Okada, Jerome C. Foo, Fumiharu Togo, Jinhyuk Kim
+
+Psychological stress (PS) in daily life can be monitored using passively collected heart rate variability (HRV) data. This study classified PS levels based on HRV recorded over two weeks from 17 participants, who self-reported PS seven times a day. HRV features from various time windows were analyzed using machine learning. The best model, LightGBM, achieved an AUC of 76% in predicting whether PS was above or below each individual's average.
+
+![embc25_mitsumatsu1](/img/embc25_mitsumatsu1.jpg)
+
+![embc25_mitsumatsu2](/img/embc25_mitsumatsu2.jpg)