@inproceedings{1c847e3e175a455aa88cd07639f0b254,
title = "Hover detection using active acoustic sensing",
abstract = "In this paper, we present a technique for hover and touch detection using Active Acoustic Sensing. This sensing technique analyzes the resonant property of the target object and the air around it. To verify whether the detection technique works, we conduct an experiment to discriminate between hovering the hand over the piezoelectric elements placed on a target object and touching the same object. As a result of our experiment, hovering was detected with 96.7% accuracy and touching was detected with 100% accuracy.",
keywords = "Acoustic classification, Everyday surfaces, Frequency analysis, Machine learning, Piezoelectric sensor, Prototyping, Proximity sensing, Touch activities, Ultrasonic",
author = "Masaya Tsuruta and Shuhei Aoyama and Arika Yoshida and Buntarou Shizuki and Jiro Tanaka",
year = "2016",
doi = "10.1007/978-3-319-39516-6_10",
language = "English",
isbn = "9783319395159",
volume = "9732",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "104--114",
booktitle = "Human-Computer Interaction : Interaction Platforms and Techniques - 18th International Conference, HCI International 2016, Proceedings",
address = "Germany",
note = "18th International Conference on Human-Computer Interaction, HCI International 2016 ; Conference date: 17-07-2016 Through 22-07-2016",
}