Eye Clinic Sulzbach, Knappschaft Hospital Saar, Sulzbach, Saarland, Germany.
Centre for Ophthalmology, University of Tuebingen, Tuebingen, Baden-Württemberg, Germany.
PLoS One. 2021 Feb 19;16(2):e0247389. doi: 10.1371/journal.pone.0247389. eCollection 2021.
To improve the acceptance and compliance of treatment of amblyopia, the aim of this study was to show that it is feasible to design an electronic frame for context-sensitive liquid crystal glasses, which can measure the state of wear position in a robust manner and detect distinct motion patterns for activity recognition.
Different temple designs with integrated temperature and capacitive sensors were developed to realize the detection of the state of wear position to distinguish three states (correct position/wrong position/glasses taken off). The electronic glasses frame was further designed as a tool for accelerometer data acquisition, which was used for algorithm development for activity classification. For this purpose, training data of 20 voluntary healthy adult subjects (5 females, 15 males) were recorded and a 10-fold cross-validation was computed for classifier selection. In order to perform functional testing of the electronic glasses frame, a proof of concept study was performed in a small group of healthy adults. Four healthy adult subjects (2 females, 2 males) were included to wear the electronic glasses frame and to protocol their activities in their everyday life according to a defined test protocol. Individual and averaged results for the precision of the state of wear position detection and of the activity recognition were calculated.
Context-sensitive control algorithms were developed which detected the state of wear position and activity in a proof of concept. The pilot study revealed an average of 91.4% agreement of the detected states of wear position. The activity recognition match was 82.2% when applying an additional filter criterion. Removing the glasses was always detected 100% correctly.
The principles investigated are suitable for detecting the glasses' state of wear position and for recognizing the wearer´s activity in a smart glasses concept.
为了提高弱视治疗的接受度和依从性，本研究旨在展示设计一种用于上下文敏感液晶眼镜的电子镜框是可行的，该镜框可以稳健地测量佩戴位置状态，并检测到用于活动识别的明显运动模式。
开发了具有集成温度和电容传感器的不同镜腿设计，以实现佩戴位置状态的检测，从而区分三种状态（正确位置/错误位置/眼镜摘下）。电子眼镜框进一步设计为加速度计数据采集工具，用于开发活动分类算法。为此，记录了 20 名志愿健康成年受试者（5 名女性，15 名男性）的训练数据，并进行了 10 倍交叉验证以选择分类器。为了对电子眼镜框进行功能测试，在一小部分健康成年人中进行了概念验证研究。纳入了 4 名健康成年受试者（2 名女性，2 名男性），让他们佩戴电子眼镜框，并按照规定的测试协议记录日常生活中的活动。计算了佩戴位置状态检测和活动识别的精度的个体和平均值结果。
开发了上下文敏感的控制算法，用于在概念验证中检测佩戴位置状态和活动。该初步研究显示佩戴位置状态的检测平均有 91.4%的一致性。当应用附加的过滤标准时，活动识别的匹配率为 82.2%。摘下眼镜始终能 100%正确检测到。
所研究的原理适用于检测眼镜的佩戴位置状态，并在智能眼镜概念中识别佩戴者的活动。
