Design of an efficient spiking neural network for human activity recognition

• 第一著者: Tan, Yee Leong
• フォーマット: 学位論文
• 言語: English; English
• 出版事項: 2024
• オンライン･アクセス: http://eprints.utem.edu.my/id/eprint/27405/1/Design%20of%20an%20efficient%20spiking%20neural%20network%20for%20human%20activity%20recognition.pdf; http://eprints.utem.edu.my/id/eprint/27405/2/Design%20of%20an%20efficient%20spiking%20neural%20network%20for%20human%20activity%20recognition.pdf; http://eprints.utem.edu.my/id/eprint/27405/; https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=123434

Human activity recognition (HAR) using Wi-Fi Channel State Information (CSI) has attracted significant interest as an alternative to conventional methods due to its potential to address human privacy concerns. While Long Short-Term Memory (LSTM) models have shown promising results in HAR, their reso...