気流による入力を実現するミストインタフェース
An Interactive Mist Interface for Airflow Input
2023
閔天，夏成碩，山本匠，杉浦裕太
Tian Min, Chengshuo Xia, Takumi Yamamoto, Yuta Sugiura
[Reference /引用はこちら]
Tian Min, Chengshuo Xia, Takumi Yamamoto, Yuta Sugiura, Seeing the Wind: An Interactive Mist Interface for Airflow Input, PACM on Human-Computer Interaction (HCI), ISS 2023. [DOI]
人の活動は光や音などの環境に変化をもたらし，これらの環境の変化はデバイスの入力として利用できる．環境の変化の一つに気流の変化があるが，気流変化の計測による人間の行動を認識する手法は確立されていなかった．本研究では，ToFセンサを用いて加湿器などから出るミストを用いて気流を計測する手法を提案する．ミストの種類や空気の流れの速さがこの技術にどのような影響するかを調査した．さらに，加湿器を用いたプロトタイプを構築し，ユーザ実験を通して実際に人間の活動が識別可能かを調査した．
Human activities can introduce variations in various environmental cues, such as light and sound, which can serve as inputs for interfaces. However, one often overlooked aspect is the airflow variation caused by these activities, which presents challenges in detection and utilization due to its intangible nature. In this paper, we have unveiled an approach using mist to capture invisible airflow variations, rendering them detectable by Time-of-Flight (ToF) sensors. We investigate the capability of this sensing technique under different types of mist or smoke, as well as the impact of airflow speed. To illustrate the feasibility of this concept, we created a prototype using a humidifier and demonstrated its capability to recognize motions. On this basis, we introduce potential applications, discuss inherent limitations, and provide design lessons grounded in mist-based airflow sensing.