AIMC Topic: Human Activities

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An integration of deep learning models for effective classification of human activity patterns in disabled people using gesture analysis.

Scientific reports
Human activity recognition (HAR) has numerous applications due to its widespread use of procurement tools, such as smartphones and video cameras, and its ability to capture data on human activity. HAR became a hot scientific area in the computer visi...

A tiny inertial transformer for human activity recognition via multimodal knowledge distillation and explainable AI.

Scientific reports
Human activity recognition (HAR) is essential for applications such as healthcare monitoring, fitness tracking, and smart environments, yet deploying accurate and interpretable models on resource-constrained devices remains challenging. In this paper...

Bi-directional ConvLSTM networks for early recognition of human activities and action prediction.

Scientific reports
Early detection of human activity is essential in domains including robotics, entertainment, surveillance, and healthcare. Early detection that is accurate enables prompt decision-making, enhancing system responsiveness and overall effectiveness. Con...

Implementing ensemble of deep learning model with optimization techniques for human activity recognition to assist individuals with disabilities.

Scientific reports
Recent human activity recognition (HAR) developments have allowed numerous applications like healthcare, smart homes, and improved manufacturing. Activity recognition plays a crucial part in improving human well-being by capturing behavioral data, en...

Integrating swin transfer with attention mechanism based hybrid deep learning driven automated human activity recognition for enhanced disability assistance.

Scientific reports
The challenge of providing independent living for elderly and disabled individuals is a critical societal concern. Accurate human activity recognition (HAR) is core to allow the development of context-aware applications that involve the identificatio...

Adaptive temporal attention mechanism and hybrid deep CNN model for wearable sensor-based human activity recognition.

Scientific reports
The recognition of human activity by wearable sensors has garnered significant interest owing to its extensive applications in health, sports, and surveillance systems. This paper presents a novel hybrid deep learning model, termed CNNd-TAm, for the ...

Dual Attention-Based recurrent neural network and Two-Tier optimization algorithm for human activity recognition in individuals with disabilities.

Scientific reports
Human activity recognition (HAR) has been one of the active research areas for the past two years for its vast applications in several fields like remote monitoring, gaming, health, security and surveillance, and human-computer interaction. Activity ...

Human activities and climate override local catchment characteristics in explaining long-term phytoplankton trends in prairie lakes.

The Science of the total environment
Lakes across the globe are experiencing growing ecological pressure from climate change and human activities. In prairie regions, these pressures often result in shifts in phytoplankton abundance, a key indicator of water quality. Yet identifying the...

Advanced smart human activity recognition system for disabled people using artificial intelligence with snake optimizer techniques.

Scientific reports
Human Activity Recognition (HAR) has become an active research area in recent years due to its applicability in various domains and the growing need for convenient facilities and intelligent homes for the elderly. Physical activity tends to decrease ...

Intelligent routing for human activity recognition in wireless body area networks.

Scientific reports
Human activity recognition (HAR), driven by machine learning techniques, offer the detection of diverse activities such as walking, running, and more. Considering the dynamic nature, limited energy and mobility of wireless body area networks (WBANs),...