Wi-ID: WiFi-Based Identification System Using Rock-Paper-Scissors Hand Gestures
نویسندگان
چکیده
This paper proposes using a WiFi-based identification system, Wi-ID, to identify users from their unique hand gestures. Hand gestures the popular game rock-paper-scissors are utilized for system’s user authentication commands. The whole feature of three is extracted instead single gesture by existing methods. Dynamic time warping (DTW) analyze amplitude information in domain based on linear discriminant analysis (LDA), while extract kurtosis (AP-KU) and shape skewness (SP-SK) Wi-Fi signals energy distribution frequency domain. Based contributions features, random forests algorithm weight inputs long short-term memory (LSTM) network. experiment conducted computer installed with an Intel 5300 wireless networking card evaluate effectiveness robustness Wi-ID system. results showed accuracy proposed system has personal differentiation rate over 92%, average 96%. Authorized persons who performed incomplete identified 92% hostile intruders can be probability 90%. Such performance demonstrates that achieved aim authentication.
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ژورنال
عنوان ژورنال: Wireless Personal Communications
سال: 2022
ISSN: ['1572-834X', '0929-6212']
DOI: https://doi.org/10.1007/s11277-022-10029-0