Dual-phase neural networks for feature extraction and ensemble learning for recognizing human health activities
Abstract: Highlights•Human activity recognition aids elderly care, lifestyle monitoring, and healthcare.•Novel Dual-Phase Fused Network with ensemble learning for recognizing human activities.•DH-FusedCNN and Bi-GRU-Attention networks extract global-local HAR features.•Dual-Phase ensemble uses stacked weighted voting for robust HAR classification.•Experiments on six datasets achieve up to 99.66% accuracy across diverse tasks.
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