Deep learning-based human activity recognition using CNN, ConvLSTM, and LRCN

Deep learning-based human activity recognition using CNN, ConvLSTM, and LRCN

Human activity recognition (HAR) plays a crucial role in assisting the elderly and individuals with vascular dementia by providing support and monitoring for their daily activities. This paper presents a deep learning (DL)-based approach to HAR, leveraging convolutional neural network (CNN), convolu...

Full description

Bibliographic Details
Main Authors: Md. Ashraf Uddin, Md. Alamin Talukder, Muhammad Sajib Uzzaman, Chandan Debnath, Moumita Chanda, Souvik Paul, Md. Manowarul Islam, Ansam Khraisat, Ammar Alazab, Sunil Aryal
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-01-01
Series:International Journal of Cognitive Computing in Engineering
Subjects:
Human activity recognition
Deep learning
Convolutional neural network
Convolutional long short-term memory
Long-term recurrent convolutional network
Online Access:http://www.sciencedirect.com/science/article/pii/S2666307424000214

Internet

http://www.sciencedirect.com/science/article/pii/S2666307424000214

Similar Items