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.

Google Scholar / LinkedIn / ACM / researchmap / reseach-er.jp


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]

Click here for input projects.

User Understanding in Hearable Operations

We are conducting research on user understanding in hands input for hearables.

Through a Gesture Elicitation Study, we compare the impact of interface constraints and device form factors.

This comprehensive support aims to incrementally advance the interaction design of hearables.

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 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 user expressions by utilizing the reverberation characteristics of the ear canal.

The proposed method is expected to be applied to gesture input and expression recognition, contributing to the realization of advanced hearable input such as silent speech interaction.

This system can be implemented with only a speaker and a microphone, effectively utilizing components typically used for music playback or calls.

This has the advantage of reducing implementation costs in hearables, where there are strict limitations on device enclosures. 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]



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


  • 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


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




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])


  • 産学で語る ⽿⾳響認証対応ヒアラブルデバイスへの期待(2024.02.07) Link
  • “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」(2023.01.05) Link


  • IPSJ

Teaching Assistant

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