Horiuchi Ryogo, Ogasawara Tomohito, Miki Norihisa
Department of Mechanical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan.
Micromachines (Basel). 2018 Jun 20;9(6):310. doi: 10.3390/mi9060310.
This paper demonstrates fatigue assessment based on eye blinks that are detected by dye-sensitized photovoltaic cells. In particular, the sensors were attached to the temple of eyeglasses and positioned at the lateral side of the eye. They are wearable, did not majorly disturb the user's eyesight, and detected the position of the eyelid or the eye state. The optimal location of the sensor was experimentally investigated by evaluating the detection accuracy of blinks. We conducted fatigue assessment experiments using the developed wearable system, or smart glasses. Several parameters, including the frequency, duration, and velocity of eye blinks, were extracted as fatigue indices. Successful fatigue assessment by the proposed system will be of great benefit for maximizing performance and maintenance of physical/mental health.
本文展示了基于染料敏化光伏电池检测到的眨眼进行疲劳评估。具体而言，传感器附着在眼镜的太阳穴处，位于眼睛的外侧。它们可穿戴，不会对用户视力造成重大干扰，并能检测眼睑位置或眼睛状态。通过评估眨眼检测精度，对传感器的最佳位置进行了实验研究。我们使用开发的可穿戴系统即智能眼镜进行了疲劳评估实验。提取了包括眨眼频率、持续时间和速度在内的几个参数作为疲劳指标。所提出的系统成功进行疲劳评估将对最大限度提高性能以及维持身心健康大有裨益。
