著者

三幣 康太 北村 謙英 コルテス カルロス 小川 実穂

出版者

一般社団法人日本機械学会

雑誌

マイクロ・ナノ工学シンポジウム

巻号頁・発行日

vol.2014, no.6, pp."20pm1-E6-1"-"20pm1-E6-2", 2014-10-20

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This paper presents an experimental platform to explore effective ambient intelligence systems using a MEMS-based wearable eye-tracking system and tactile display. Ambient intelligence, which allows us to receive useful information on site and at real time from the surrounding environment, requires a method to let the users be aware of the information. Given that our vision and hearing is heavily used, we consider that utilizing of tactile sensation is most effective. In our research, We use an unobtrusive pupil tracker for wearable computer using dye-sensitized photovoltaic cells installed on an eyeglass lens and an electro tactile display. In addition, we made an Android application that enables us to manipulate the Tactile sensations and get information of the eye tracking device.

著者

堀内 亮吾 コルテス カルロス 三木 則尚

出版者

一般社団法人日本機械学会

雑誌

マイクロ・ナノ工学シンポジウム

巻号頁・発行日

vol.2015, no.7, pp."28pm1-E-1-1"-"28pm1-E-1-2", 2015-10-21

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We propose a wearable line-of-sight detection system that utilizes micro-fabricated transparent optical sensors on eyeglasses. These sensors can detect the difference of reflection light intensity between white of eye and pupil. Up until now, we successfully have detected all directions which based on 4 directions (up, down, right, left and), blink by using the proposed system. Our system showed experimentally that the error is as small as 1.5°. In order to develop practical application of our system, we improved our system to detect more precise conditions: open eye, blink, close eye. We finally devised an algorithm which converts these 3 conditions to the input signals.