Human Similar Activity Recognition Using Millimeter-Wave Radar Based on CNN-BiLSTM and Class Activation Mapping

Human Similar Activity Recognition Using Millimeter-Wave Radar Based on CNN-BiLSTM and Class Activation Mapping

Human activity recognition (HAR) is an important field in the application of millimeter-wave radar. Radar-based HARs typically use Doppler signatures as primary data. However, some common similar human activities exhibit similar features that are difficult to distinguish. Therefore, the identificati...

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Bibliographic Details
Main Authors: Xiaochuan Wu, Zengyi Ling, Xin Zhang, Zhanchao Ma, Weibo Deng
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Eng
Subjects:
mm-wave radar
convolutional neural networks (CNN)
human similar activity recognition (HSAR)
bidirectional long short-term memory (BiLSTM)
class activation mapping (CAM)
Online Access:https://www.mdpi.com/2673-4117/6/3/44
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