Motion Signal-based Recognition of Human Activity from Video Stream
Dataset Using Deep Learning Approach
Ram Kumar Yadav,
Daniel Arockiam,
Vijay Bhaskar Semwal
Abstract:Background:
Human physical activity recognition is challenging in various research
eras, such as healthcare, surveillance, senior monitoring, athletics, and rehabilitation. The use
of various sensors has attracted outstanding research attention due to the implementation of
machine learning and deep learning approaches.
Aim:
This paper proposes a unique deep learning framework based on motion signals to recognize
human activity to handle these constraints and challenges through deep learning (e.g., Enhance
CN… Show more
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