Continuous Human Activity Recognition through Parallelism LSTM with Multi-Frequency Spectrograms

According to the real-living environment, radar-based human activity recognition (HAR) is dedicated to recognizing and classifying a sequence of activities rather than individual activities, thereby drawing more attention in practical applications of security surveillance, health care and human–comp...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Congzhang Ding, Yong Jia, Guolong Cui, Chuan Chen, Xiaoling Zhong, Yong Guo
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
Q
Accès en ligne:https://doaj.org/article/8cfaa2c44fdd4ec3bf637f91d8ea5d7c
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!