@inproceedings{6f353484beae48738f57e80c4e2d57c4,
title = "Development of magnetic-sensor-based hand gesture recognition system for sign language",
abstract = "Sign language recognition is essential for the automatic translation of sign languages to enable communication for hearing-impaired people. This work proposes a system based on multiple magnetic sensors for recognizing hand gestures related to sign language alphabets. In particular, a magnetic detection system consisting of six magnetic sensor nodes measures the orientation of fingers and palms. A deep learning classification algorithm processes the measured orientation data. Experimental tests validate the proposed system and classification method. The results show that the proposed method provides close to 100% classification accuracy for 26 sign language alphabets under laboratory conditions. Thus, the feasibility of the proposed gesture recognition system for automatic translation of sign language alphabets is proved.",
keywords = "IoT, gesture recognition, magnetic detection, status detection, system integration",
author = "Bo Shi and Xi Chen and Zhongzheng He and Ruoyu Han",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th IEEE International Electrical and Energy Conference, CIEEC 2023 ; Conference date: 12-05-2023 Through 14-05-2023",
year = "2023",
doi = "10.1109/CIEEC58067.2023.10167092",
language = "English",
series = "2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2302--2305",
booktitle = "2023 IEEE 6th International Electrical and Energy Conference, CIEEC 2023",
address = "United States",
}
