Robotics & Machine Learning Daily News2024,Issue(Jul.30) :77-78.

Researchers from University of Shanghai for Science and Technology Report Findin gs in Intelligent Systems (An End-to-end Hand Action Recognition Framework Based On Cross-time Mechanomyography Signals)

Robotics & Machine Learning Daily News2024,Issue(Jul.30) :77-78.

Researchers from University of Shanghai for Science and Technology Report Findin gs in Intelligent Systems (An End-to-end Hand Action Recognition Framework Based On Cross-time Mechanomyography Signals)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning - Intelligent Systems are discussed in a newreport. According to news originati ng from Shanghai, People’s Republic of China, by NewsRx correspondents,research stated, “The susceptibility of mechanomyography (MMG) signals acquisition to se nsordonning and doffing, and the apparent time-varying characteristics of biome dical signals collected overdifferent periods, inevitably lead to a reduction i n model recognition accuracy. To investigate the adverseeffects on the recognit ion results of hand actions, a 12-day cross-time MMG data collection experimentwith eight subjects was conducted by an armband, then a novel MMG-based hand act ion recognitionframework with densely connected convolutional networks (DenseNe t) was proposed.”

Key words

Shanghai/People’s Republic of China/As ia/Intelligent Systems/Machine Learning/University of Shanghai for Science an d Technology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文