@inproceedings{4c6d17c577ae405a8e80f72946f027f9,
title = "Virtual Keyboard Based on IMU",
abstract = "The development of sensors and artificial intelligence have promoted human-computer interaction. However, as the most widely used human-computer interaction, traditional typing keyboard, has not undergone fundamental changes in the past few decades. In this paper, a system based on the inertial measurement unit and long short term memory network algorithm are designed to recognize keyboard finger movements and achieve efficient text input. The experimental results show that the proposed scheme achieves over 9 9 \% recognition accuracy for both traditional QWERTY layout keyboards and phone numeric keypads. The proposed virtual keyboard scheme not only saves space but also improves the input convenience for mobile device, which offers the valuable exploration in the smart typing and the interaction with virtual world.",
keywords = "IMU, LSTM, keypad, virtual keyboard",
author = "Ci Wang and Yiwen Song",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 10th IEEE Smart World Congress, SWC 2024 ; Conference date: 02-12-2024 Through 07-12-2024",
year = "2024",
doi = "10.1109/SWC62898.2024.00180",
language = "英语",
series = "Proceedings - 2024 IEEE Smart World Congress, SWC 2024 - 2024 IEEE Ubiquitous Intelligence and Computing, Autonomous and Trusted Computing, Digital Twin, Metaverse, Privacy Computing and Data Security, Scalable Computing and Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1127--1134",
booktitle = "Proceedings - 2024 IEEE Smart World Congress, SWC 2024 - 2024 IEEE Ubiquitous Intelligence and Computing, Autonomous and Trusted Computing, Digital Twin, Metaverse, Privacy Computing and Data Security, Scalable Computing and Communications",
address = "美国",
}