Our paper “SelfGuard: Semi-Automated Activity Tracking for Enhancing Self-Protection against the COVID-19 Pandemic” is accepted by ACM SenSys2020 (COVID-19 Pandemic Response session)
Our paper "SelfGuard: Semi-Automated Activity Tracking for Enhancing Self-Protection against the COVID-19 Pandemic" is accepted by ACM SenSys2020 (COVID-19 Pandemic Response session). Yuuki Nishiyama (Assistant Professor), Takuro Yonezawa (Associate Professor from Nagoya University), and Kaoru Sezaki (Professor) wrote the paper. ...
Read More
Read More
The MOCHA project, which our laboratory is participating in, was introduced in Nikkei xTECH.
[Link to the article in Niccke xTECH]
https://xtech.nikkei.com/atcl/nxt/info/18/00001/020800003/
[Link to the MOCHA project]
https://mocha.t.u-tokyo.ac.jp/ ...
Read More
https://xtech.nikkei.com/atcl/nxt/info/18/00001/020800003/
[Link to the MOCHA project]
https://mocha.t.u-tokyo.ac.jp/ ...
Read More
Yuuki Nishiyama presented his research “Using IOS for Inconspicuous Data Collection: A Real-World Assessment” at an in-conjunction workshop (HASCA2020) in ACM UbiComp2020
Yuuki Nishiyama presented his research "Using IOS for Inconspicuous Data Collection: A Real-World Assessment" at an in-conjunction workshop (HASCA2020) in ACM UbiComp2020 ...
Read More
Read More
Soichiro Higuma presented his research “Towards estimating UV light intensity using GPS signal strength” at an in-conjunction workshop (WellComp2020) in ACM UbiComp2020
Soichiro Higuma presented his research "Towards estimating UV light intensity using GPS signal strength" at an in-conjunction workshop (WellComp2020) in ACM UbiComp2020 ...
Read More
Read More
[AWARD] Our research won the Best Paper Award at SIG (Special Interesting Group) Ubiquitous Computing System (UBI) in IPSJ
オンラインで開催された第66回 情報処理学会 ユビキタスコンピューティングシステム研究会にて発表した、「GPS信号受信状態を用いた紫外線量推定手法の検討」が優秀論文賞を受賞しました。 ...
Read More
Read More
