Takashi Amesaka – Takashi Amesaka

ScanRing: Hybrid Authentication System in a Ring Device Using a Distance Sensor and an IMU Sensor

2025年8月5日2025年8月5日 Takashi Amesaka

Smart rings are used for contactless payment, smart lock operation, and health monitoring. For applications such as electronic payment and unlocking smart locks, the implementation of a user authentication system in smart rings is essential; however, some challenges remain. Fingerprint… MoreScanRing: Hybrid Authentication System in a Ring Device Using a Distance Sensor and an IMU Sensor

Accepted by ACM CHI 2025!

2025年4月24日 Takashi Amesaka

Research on “FlexEar-Tips,” a hearables with dynamically shape-changing ear tips, has been accepted for ACM CHI2025, an international conference on human-computer interaction! This is my first CHI presentation. I am happy. Click here for project details.

FlexEar-Tips: Shape-Adjustable Ear Tips Using Pressure Control

2025年4月21日2025年4月24日 Takashi Amesaka

We introduce FlexEar-Tips, a dynamic ear tip system designed for the next-generation hearables. The ear tips are controlled by an air pump and solenoid valves, enabling size adjustments for comfort and functionality. FlexEar-Tips includes an air pressure sensor to monitor… MoreFlexEar-Tips: Shape-Adjustable Ear Tips Using Pressure Control

I work at Osaka University.

2025年4月9日2025年8月4日 Takashi Amesaka

I have just started working as an assistant professor at the Graduate School of Engineering Science, Osaka University (XRGroup). I will work hard on research and student guidance, learning from Professors Iwai and Nakamura.

Accepted for IEEE TMC！！

2025年2月12日 Takashi Amesaka

The latest enhanced version of the personal authentication project (project name: EarLock) using sound leakage signals will be published by IEEE TMC!!! Please take a look! ↓early access version↓ https://ieeexplore.ieee.org/document/10879366

keioテクノモール2024

2024年12月20日 Takashi Amesaka

第25回慶應科学技術展KEIO TECHNO-MALL 2024にヒアラブルデバイスを快適・安全に利用するテクノロジー[URL]という展示を行いました。これまでの音漏れ信号を用いたインタラクション・個人認証技術の開発に関する取り組みと、Elicitation Studyを用いたヒアラブルデバイス×ハンズジェスチャに関するインタフェースのユーザ理解と耳タッチジェスチャのIMUセンサによる認識について紹介しました。ご来場いただいた方々ありがとうございました。

Accepted by ACM UIST2024/Best Paper!!

2024年9月25日2024年11月5日 Takashi Amesaka

Our paper on a new hearables control method using sound leakage signals has been accepted to ACM UIST 2024.We also received the Best Papers (4/133 papers). Thank you!! For an overview of the project, please visit this page.

Accepted by PACM HCI(MobileHCI2024)

2024年9月2日2024年9月2日 Takashi Amesaka

A journal article focusing on user understanding regarding hearables and a proposal for a gesture recognition system using IMU sensors will be published in the Proceedings of the ACM on Human-Computer Interaction (Google Scholar h5-index is 81). We will present… MoreAccepted by PACM HCI(MobileHCI2024)

Exploring User-Defined Gestures as Input for Hearables and Recognizing Ear-Level Gestures with IMUs

2024年7月31日2024年9月27日 Takashi Amesaka

Hearables are highly functional earphone-type wearables; however, existing input methods using stand-alone hearables are limited in the number of commands, and there is a need to extend device operation through hand gestures. In previous research on hearables for hand input,… MoreExploring User-Defined Gestures as Input for Hearables and Recognizing Ear-Level Gestures with IMUs

EarHover: Mid-Air Gesture Recognition for Hearables Using Sound Leakage Signals

2024年6月19日2025年8月4日 Takashi Amesaka

We propose a novel gesture recognition method, “EarHover,” which enables mid-air gesture input for hearables. This method focuses on the phenomenon of sound leakage specific to hearables and utilizes speakers and external microphones, which are highly compatible with hearables, for… MoreEarHover: Mid-Air Gesture Recognition for Hearables Using Sound Leakage Signals