Institute of Industrial Science / Center for Spatial Information Science in The University of Tokyo
Shared micromobility is widely recognized as an environmentally friendly travel mode and a critical component of transportation decarbonization. However, quantitatively assessing its environmental impact using real-world trip data is an unresolved and challenging subject. To this end, we proposed a system
http://link.springer.com/10.1007/s13278-020-00712-0
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.
[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/
Soichiro Higuma presented his research “Towards estimating UV light intensity using GPS signal strength” at an in-conjunction workshop (WellComp2020) in ACM UbiComp2020
![[AWARD] Our research won the Best Paper Award at SIG (Special Interesting Group) Ubiquitous Computing System (UBI) in IPSJ](https://www.mcl.iis.u-tokyo.ac.jp/wp-content/uploads/2020/08/ubi66_award-710x300.png "[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。
2020年5月28日にオンラインで開催された第81回 高度交通システムとスマートコミュニティ研究会（ITS）にて発表した「Non-Negative Tensor Factrizationを用いたドックレスマイクロモビリティの利用形態分類手法の検討」が優秀発表賞を受賞しました。