We demonstrated FlexEar-Tips at InterBee2025. By having corporate representatives experience the product, we gained new perspectives, making it a highly productive three days.

The theme “Gesture Intent Estimation Using Earbud-Type EEG Devices” has been selected for the MRL: Multidisciplinary Research Laboratory System, an internal research support system! We aim to unlock the potential of EEG as a foundational technology for next-generation interactions that… MoreSelected for the university’s research support

Students will present a poster at ACM UIST2025 on the joint research project with Keio University titled “HearTMD: Detection of Temporomandibular Disorder Using Hearables,” which utilizes hearable devices for diagnosing temporomandibular disorders.

Our project “Flex-Ear Tips”, which explores deformation and control of ear tips, has been officially selected for the Content Technology Innovation Program (CTIP)—a program that supports the social implementation of technologies related to content! Please take a look at our… MoreSelected for the Content Technology Innovation Program!

Research on ScanRing: Hybrid Authentication System in a Ring Device Using a Distance Sensor and an IMU Sensor, has been accepted for ACM MobileHCI2025, an international conference on human-computer interaction! Click here for project details.

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.

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.

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

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.