DSmT Based Fusion Strategy for Human Activity Recognition in Body Sensor Networks is popular PDF and ePub book, written by Yilin Dong in 2024-09-21, it is a fantastic choice for those who relish reading online the Education genre. Let's immerse ourselves in this engaging Education book by exploring the summary and details provided below. Remember, DSmT Based Fusion Strategy for Human Activity Recognition in Body Sensor Networks can be Read Online from any device for your convenience.
DSmT Based Fusion Strategy for Human Activity Recognition in Body Sensor Networks Book PDF Summary
Multi-sensor fusion strategies have been widely applied in Human Activity Recognition (HAR) in Body Sensor Networks (BSNs). However, the sensory data collected by BSNs systems are often uncertain or even incomplete. Thus, designing a robust and intelligent sensor fusion strategy is necessary for highquality activity recognition. In this paper, Dezert-Smarandache Theory (DSmT) is used to develop a novel sensor fusion strategy for HAR in BSNs, which can effectively improve the accuracy of recognition. Specifically, in the training stage, the Kernel Density Estimation (KDE) based models are first built and then precisely selected for each specific activity according to the proposed discriminative functions.
Detail Book of DSmT Based Fusion Strategy for Human Activity Recognition in Body Sensor Networks PDF
- Author : Yilin Dong
- Release : 21 September 2024
- Publisher : Infinite Study
- ISBN : 978186723xxxx
- Genre : Education
- Total Page : 11 pages
- Language : English
- PDF File Size : 13,9 Mb
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