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A survey on wearable human activity recognition: innovative pipeline development for enhanced research and practice
Recent trends in Wearable Human Activity Recognition (WHAR) have led to an
unprecedented 42.9% increase in scholarly articles in 2022, underscoring the urgency for a …
unprecedented 42.9% increase in scholarly articles in 2022, underscoring the urgency for a …
Privacy-preserving activity recognition using multimodal sensors in smart office
Develo** a human activity recognition (HAR) system for employees is essential to
incorporate intelligence into smart office environments, enabling various human-centered …
incorporate intelligence into smart office environments, enabling various human-centered …
HARWE: A multi-modal large-scale dataset for context-aware human activity recognition in smart working environments
In recent years, deep neural networks (DNNs) have provided high performances for various
tasks, such as human activity recognition (HAR), in view of their end-to-end training process …
tasks, such as human activity recognition (HAR), in view of their end-to-end training process …
Rhm: Robot house multi-view human activity recognition dataset
With the recent increased development of deep neural networks and dataset capabilities,
the Human Action Recognition (HAR) domain is growing rapidly in terms of both the …
the Human Action Recognition (HAR) domain is growing rapidly in terms of both the …
A Survey of Video Action Recognition Based on Deep Learning
P Gong, X Luo - Available at SSRN 4978362 - papers.ssrn.com
Abstract Deep Learning (DL) in Video Action Recognition (VAR) is an important and
challenging area of research in machine vision. While DL has dramatically improved the …
challenging area of research in machine vision. While DL has dramatically improved the …