Context Recognition and its application based on Touch Operation Analysis(Fostering Joint International Research)

2018 Fiscal Year Final Research Report

• Project/Area Number: 15KK0011
• Research Category: Fund for the Promotion of Joint International Research (Fostering Joint International Research)
• Allocation Type: Multi-year Fund
• Research Field: Information network
• Research Institution: Nara Institute of Science and Technology
• Principal Investigator: Arakawa Yutaka 奈良先端科学技術大学院大学, 先端科学技術研究科, 准教授 (30424203)
• Research Collaborator: Srivastava Mani University of California Los Angeles, Electrical & Computer Engineering, Professor
• Project Period (FY): 2016 – 2018
• Keywords: タッチ操作 / コンテキスト認識 / スマートフォン

Outline of Final Research Achievements

For nine months from August 2017 to April 2018, I conducted research on user's context recognition using smartphones and wearable devices under Professor Mani of UCLA. During the stay, I got a novel idea of a low-power-consumption place recognition system. It utilizes an energy harvest element not only for a power source but also for a sensor. This idea was accepted to a top conference IEEE PerCom 2019 as a full paper (Acceptance rate: 16.6%). The achievements are more than I expected. I also hosted an international workshop called PerPersuasion 2019 with Professor Mani.

Free Research Field

ユビキタスコンピューティング

Academic Significance and Societal Importance of the Research Achievements

UCLAの研究室に滞在し，研究の進め方やアイデアの出し方，論文執筆方法など，多くのことを学ぶことができた．ハードウェアから深層学習まで，幅広い情報技術を複合的に組み合わせたセキュリティや通信の研究は非常に参考になった．その結果，新しいアイデアを得ることができ，科研費やトップ会議への採択へとつながっている．この成果は，エナジーハーベスト素子を電源としてだけではなく，センサとして活用するというもので，バッテリレスでライフログを記録できるようになるため，学術的な意義は非常に大きい．