Spatio-Temporal Human Activity Recognition using CNN and LSTM - Softcover

Chatterjee, Tarunima; Acharjya, Pinaki Pratim

 
9786209136832: Spatio-Temporal Human Activity Recognition using CNN and LSTM
Softcover
ISBN 10: 6209136834 ISBN 13: 9786209136832
Publisher: LAP LAMBERT Academic Publishing, 2025

Synopsis

This book presents a robust Human Activity Recognition (HAR) system that integrates Convolutional Neural Networks (CNNs) with Long Short-Term Memory (LSTM) networks, evaluated on the challenging UCF50 dataset. By combining CNNs' ability to extract spatial features from video frames with LSTMs' strength in modeling temporal sequences, the hybrid model accurately recognizes both simple and complex human actions unfolding over time. This approach addresses key HAR challenges, improving accuracy and generalization across diverse activities. Experimental results demonstrate enhanced precision and stability over conventional models. The system’s versatility supports applications in surveillance, healthcare, sports analytics, and human-computer interaction. By bridging spatial and temporal learning, the book offers a scalable, real-world HAR solution adaptable to various environments, laying groundwork for future advances in activity recognition technologies.

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Publisher
LAP LAMBERT Academic Publishing
Publication date
2025
Language
English
ISBN 10 
6209136834
ISBN 13 
9786209136832
Binding
Paperback
Number of pages
68