弊研究室の伊藤愛香（M2）と徐立強（D3）が令和6年度 新領域創成科学研究科長賞を受賞しました！
https://www.k.u-tokyo.ac.jp/information/category/award/11496.html
M1の小島君がUBIシンポジウムにて「常時装着型イヤラブルデバイス利用環境における音声通知タイミング最適化に向けた基礎検討」について発表しました！
M1の小島君は、UBIシンポジウム2025(大阪)にて発表を行いました。 タイトル：常時装着型イヤラブルデバイス利用環境における音声通知タイミング最適化に向けた基礎検討 著者：伊藤愛香,小島優未,坪内考太,西尾信彦,下坂正倫,田谷昭仁,瀬崎薫,西山勇毅
D3のDong君がUBIシンポジウムにて「Recognizing Hidden-in-the-Ear Silent Spellings」について発表しました！
D3のDong君は、UBIシンポジウム2025(大阪)にて発表を行いました。 タイトル：Recognizing Hidden-in-the-Ear Silent Spellings 著者：Xuefu Dong, Yifei Chen, Yuuki Nishiyama, Kaoru Sezaki, Yuntao Wang, Ken Christofferson, Alex Mariakakis
Xiuwen GU(M1) presented “A Study on Detecting Postpartum Depression Symptoms Using Passive Mobile Sensing” at The 86th National Convention of IPSJ
Xiuwen GU(M1) presented “A Study on Detecting Postpartum Depression Symptoms Using Passive Mobile Sensing” at The 86th National Convention of IPSJ
Zhengbo WANG(M1) presented “Toward the Detection of Mental and Physical Stress and Recovery States in Student Athletes: Comparative Analysis Across Different Periods” at The 86th National Convention of IPSJ
Zhengbo WANG(M1) presented “Toward the Detection of Mental and Physical Stress and Recovery States in Student Athletes: Comparative Analysis Across Different Periods” at The 86th National Convention of IPSJ
【AWARD】Subaru Atsumi(M1) won the Best Paper Award at the 81th IPSJ SIGUBI!
【AWARD】Subaru Atsumi(M1) won the Best Paper Award at the 81th IPSJ SIGUBI!
Subaru Atsumi(M1) presented his research “UV Index Estimation Using Point Cloud Neural Networks for Signal Information of Each GNSS Satellite” at the 81st IPSJ SIGUBI.
Subaru Atsumi(M1) presented his research “UV Index Estimation Using Point Cloud Neural Networks for Signal Information of Each GNSS Satellite” at the 81st IPSJ SIGUBI.
Eri Hosonuma(D2) presented her research “Opportunistic Division and Allocation of Machine Learning Task for WSN” at ICUFN 2023!
Eri Hosonuma(D2) presented her research “Opportunistic Division and Allocation of Machine Learning Task for WSN” at The 14th International Conference on Ubiquitous and Future Networks (ICUFN 2023)! Overview Machine learning (ML)-applied sensing systems are widely deployed in real environments in
Shota Ono(D3)presented his research “Mobility-Aware Timing Control of Parameter Aggregation in Edge Federated Learning” at IEICE SeMI Workshop!
Shota Ono(D3)presented his research “Mobility-Aware Timing Control of Parameter Aggregation in Edge Federated Learning” at IEICE SeMI Workshop!