Touch Position Detection on the Front of Face Using Passive High-Functional RFID Tag with Magnetic Sensor

Touch Position Detection on the Front of Face Using Passive High-Functional RFID Tag with Magnetic Sensor
复制标题

使用带磁传感器的无源高性能 RFID 标签进行面部正面触摸位置检测

DOI:
10.1007/978-3-030-49062-1_35
复制
发表时间:
2020
期刊:
Human-Computer Interaction. Multimodal and Natural Interaction. HCII 2020. Lecture Notes in Computer Science.
影响因子:
--
通讯作者:
Takahashi Shin
Takahashi Shin
中科院分区:
--
文献类型:
--
作者:
Takayama Yuta;Ichikawa Yuu;Kitagawa Takumi;Shengmei Song;Shizuki Buntarou;Takahashi Shin

文献摘要

相似文献

我们使用无源、高功能的射频识别(RFID)标签,带有磁性传感器,可检测正面触摸位置,无需电池。我们实现了一个原型系统,包括一个护目镜型设备配备了无源高功能RFID标签与磁传感器,一个环与永磁体,和触摸检测软件的机器学习。我们评估了六个正面触摸位置和一个“无触摸”的情况下的分类准确性。使用学习数据时的识别率为83%,但实时识别率仅为65%。未来,我们将致力于提高准确性,并定义更多的触摸点和手势输入。
We used passive, high-functional radiofrequency identification (RFID) tags with magnetic sensors to detect front of face touch positions without the requirement for a battery. We implemented a prototype system consisting of a goggle-type device equipped with passive high-functional RFID tags with magnetic sensor, a ring with permanent magnets, and touch detection software for machine-learning. We evaluated the classification accuracy of the six front of face touch positions and a ‘no-touch’ case. The discrimination rate when using the learning data was 83% but the real-time discrimination was only 65%. In future, we will aim to improve the accuracy, and define more touch points and gesture inputs.