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
There was a welcome party for new members.Six B4 students and two PhD students will also join Sugiura Lab!We had fun playing board games.
NECのパネルディスカッション「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」にパネラーとして参加してきました。 https://prtimes.jp/main/html/rd/p/000000472.000078149.html
Three papers were accepted at Interaction 2024 (co-first author and two co-authors). In addition, there will be two interactive presentations and I will be responsible for one demonstration.
I attended UbiComp/ISWC2023, an international conference on ubiquitous and wearable computing held in Cancun, Mexico.I have presented the security projects for hearables at ISWC,Note. The event was crowded with many people, many of whom were from Japan.
In this study, we show a new gesture recognition method for clothing-based gesture input methods using active and passive acoustic sensing. Our system consists of a piezoelectric speaker and a microphone. The speaker transmits ultrasonic swept sine signals, and the… MoreGesture Recognition Method<br>Using Acoustic Sensing on Usual Garment
Earphone-type wearable devices, also known as “hearables,” will have many functions in the future. Some of those functions will require authentication of the wearer for access to the user’s privacy information or settlement of payments. In this study, we propose… MoreEarLock: Personal Authentication System for Hearables Using Sound Leakage Signals
In this study, we propose a new input method for mobile and wearable computing using facial expressions. Facial muscle movements induce physical deformation in the ear canal. Our system utilizes such characteristics and estimates facial expressions using the ear canal… MoreFacial expression recognition using <br>ear canal transfer function
Mr. Yamamoto (M2), received the FIT Research Encouragement Award for his research presentation! I am involved as a co-author. He was also invited to the top conference sessions and was honored for his presentation last year! Great!!
I have participated in Top Conference Session Invitation Presentation at FIT2023 (Link) I had meaningful discussions and good encounters. The following is a summary of the subjects of the presentations. 雨坂 宇宙（慶応義塾大学 理工学部情報工学科杉浦裕太研究室 訪問研究員） 【原発表の書誌情報】 Takashi Amesaka, Hiroki Watanabe, Masanori Sugimoto, Buntarou… MoreInvited Speaker, FIT2023 Top Conference Session