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Takashi Amesaka received PhD in Engineering from the University of Tsukuba, Japan, in 2023. 

He is currently visiting researcher at the Keio University, Kanagawa, Japan (LifeStyle Computing).

His research interests are in the areas of wearable computing, acoustic sensing, and hearables.

He is a member of ACM and JIP.

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News

RESEARCH

Development of Technology to Utilize Sound Leakage Signals

We are developing interaction and personal authentication systems for hearables.

We focus on the sound leakage of hearables and obtain information on the auricle and hand shape from the echoes of the signal leaking outward.

We use machine learning to recognize hand shapes or identify individuals.

We are exploring the possibility of sound leakage signals.

Click here for security projects.

  • Takashi Amesaka, Hiroki Watanabe, Masanori Sugimoto, Yuta Sugiura, and Buntarou Shizuki.
    User Authentication Method for Hearables Using Sound Leakage Signals,
    In Proceedings of ISWC 2023, Cancun, Quintana Roo, Mexico, 2023. [ACM]

Clothing Gesture Input for Common Clothing

We have developed a method to use common clothing as a touch interface using acoustic sensing.

This wearable device is removable and designed to transform a common clothing item into a smart clothing.

By using familiar clothing as a touch interface, a more comfortable and natural input method is achieved. More…

  • Takashi Amesaka, Hiroki Watanabe, Masanori Sugimoto, and Buntarou Shizuki. Gesture Recognition Method Using Acoustic Sensing on Usual Garment, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 6, No. 2, Article 41, 2022. [ACM]

Facial Expression Recognition for Hearables

We have developed a system that recognizes the user’s facial expressions by utilizing the reverberation characteristics of the ear canal.

The system is expected to be applied to gesture input and facial expression recognition.

Since this system can be implemented with only a speaker and a microphone, it has the advantage of low cost of implementation on hearables. More…

  • Takashi Amesaka, Hiroki Watanabe, and Masanori Sugimoto. Facial Expression Recognition Using Ear Canal Transfer Function, In Proceedings of ISWC 2019, London, UK, pp.1-9, 2019. [ACM]

CAREER

Work

  • JSPS Research Fellow (PD), Keio University (2023 – )
  • Research Fellow, Keio University (2023 – )
  • JSPS Research Fellow (DC2), University of Tsukuba (2021 – 2023)

Education

  • Ph.D. (Engineering) (2020 – 2023)
    Graduate School of Science and Technology
    University of Tsukuba (IPLAB)
    Advisor: Prof. Buntarou Shizuki
    2022 Doctoral Dissertation Recommendation Report
  • Master of Computer Science (2018 – 2020)
    Graduate School of Information Science Technology
    Hokkaido University (LIIS)
    Advisor: Prof. Masanori Sugimoto
  • Bachelor of Computer Science in Electronics and Engineering (2013 – 2018)
    Hokkaido University (LIIS)
    Advisor: Prof. Masanori Sugimoto

Committee

  • SIG UBI Steering Committee Members (2023- )
  • IPSJ INTERACTION Executive Committee 2024

OTHERS

Award

Grant

Research Grant

  • Grant-in-Aid for JSPS Fellows(PD) “Establishing a Micro Gesture Input Method for Healable Devices”（2023.04-2026.03）￥4,680,000
  • Grant-in-Aid for JSPS Fellows(DC2) “Robust Active Acoustic Sensing Method and Its Application to Garment Interface”（2021.04-2023.03）¥1,500,000
  • Tateishi Science and Technology Foundation(Research Grant (C)) “Establishment of smart device method for sportswear using acoustic sensing”（2021.04-2023.03）¥1,000,000

Travel Subsidy

  • IPSJ, SIGUBI “International Conference Presentation Encouragement Award” (¥200,000 [2022/8])
  • IPSJ, SIGUBI “International Conference Presentation Encouragement Award” (¥200,000 [2019/8])

Media

  • “Hand gesture input using earphone “sound leakage” developed by University of Tsukuba and Hokkaido University”. IT Media News / 「イヤフォンの“音漏れ”を利用したハンドジェスチャー入力　筑波大と北海道大が開発」Link

Review

  • The ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
  • IEEE TDSC/Access
  • IPSJ Journal

Teaching Assistant

  • Hokkaido University International Student Tutors
  • Hokkaido University, Department of Information Science and Engineering “Information Science and Engineering Experiments I & II