My name is Takashi Amesaka.

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

I’m currently a visiting researcher at Keio University, Kanagawa, Japan (LifeStyle Computing).

My 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

Contact: amesaka[@]keio.jp

I’d love to collaborate with you on wearable computing, healthcare, sports, and improving physical ability!

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.

• Shunta Suzuki, Takashi Amesaka, Hiroki Watanabe, Buntarou Shizuki, and Yuta Sugiura,
  EarHover: Mid-Air Gesture Recognition for Hearables Using Sound Leakage Signals,
  In Proceedings of UIST 2024, 2024. [ACM]

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. More…

• Yukina Sato*, Takashi Amesaka*, Takumi Yamamoto, Hiroki Watanabe, Yuta Sugiura,
  Exploring User-Defined Gestures as Input for Hearables and Recognizing of Ear-Level Gestures by IMUs, Proceedings of the ACM on Human-Computer Interaction (PACMHCI) , Vol.8., No. MHCI, Article 258 (Sep. 2024), 23 pages [URL]. *Co-first authorship.

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]

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]