Lightweight deep learning framework for recognizing construction workers' activities based on simplified node combinations

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Computer Science

Learning Framework Computer Science

Deep Learning Metho... Computer Science

Activity Recognitio... Computer Science

Relationships Computer Science

Sample Frequency Computer Science

Accuracy Computer Science

Project Management Computer Science

Keyphrases

Activity-dependent Keyphrases

Construction Worker... Keyphrases

Deep Learning Frame... Keyphrases

Worker Activity Keyphrases

Lightweight Deep Le... Keyphrases

Node Combination Keyphrases

Computational Deman... Keyphrases

Activity Recognitio... Keyphrases

Deep Learning Algor... Keyphrases

Specific Types Keyphrases

Skeleton-based Keyphrases

Sensor Location Keyphrases

Construction Projec... Keyphrases

Feature Frequency Keyphrases

Sample Frequency Keyphrases

Skeleton Data Keyphrases

Automated Construct... Keyphrases

Human Skeleton Keyphrases

Effective Construct... Keyphrases

Location Type Keyphrases

Temporal Convolutio... Keyphrases

Movement Demands Keyphrases

Sample Stacking Keyphrases

INIS

construction INIS

algorithms INIS

monitoring INIS

project management INIS

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