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Transforming large-size to lightweight deep neural networks for IoT applications
Deep Neural Networks (DNNs) have gained unprecedented popularity due to their high-
order performance and automated feature extraction capability. This has encouraged …
order performance and automated feature extraction capability. This has encouraged …
[HTML][HTML] Large language models for wearable sensor-based human activity recognition, health monitoring, and behavioral modeling: a survey of early trends, datasets …
The proliferation of wearable technology enables the generation of vast amounts of sensor
data, offering significant opportunities for advancements in health monitoring, activity …
data, offering significant opportunities for advancements in health monitoring, activity …
Tasked: transformer-based adversarial learning for human activity recognition using wearable sensors via self-knowledge distillation
Wearable sensor-based human activity recognition (HAR) has emerged as a principal
research area and is utilized in a variety of applications. Recently, deep learning-based …
research area and is utilized in a variety of applications. Recently, deep learning-based …
Practically adopting human activity recognition
Existing inertial measurement unit (IMU) based human activity recognition (HAR)
approaches still face a major challenge when adopted across users in practice. The severe …
approaches still face a major challenge when adopted across users in practice. The severe …
X-char: A concept-based explainable complex human activity recognition model
End-to-end deep learning models are increasingly applied to safety-critical human activity
recognition (HAR) applications, eg, healthcare monitoring and smart home control, to reduce …
recognition (HAR) applications, eg, healthcare monitoring and smart home control, to reduce …
AIoT-Based Smart Healthcare in Everyday Lives: Data Collection and Standardization from Smartphones and Smartwatches
Artificial Intelligence of Things (AIoT)-based smart healthcare system that utilize smart
devices can provide personalized, proactive care to patients, reducing the reliance on …
devices can provide personalized, proactive care to patients, reducing the reliance on …
Difformer: Multi-resolutional differencing transformer with dynamic ranging for time series analysis
Time series analysis is essential to many far-reaching applications of data science and
statistics including economic and financial forecasting, surveillance, and automated …
statistics including economic and financial forecasting, surveillance, and automated …
Artificial intelligence of things: A survey
The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …
Deep triplet networks with attention for sensor-based human activity recognition
One of the most significant challenges in Human Activity Recognition using wearable
devices is inter-class similarities and subject heterogeneity. These problems lead to the …
devices is inter-class similarities and subject heterogeneity. These problems lead to the …
Smartphone-based human activities recognition system using random forest algorithm
The advancements of smartphone technology, bring together doctors and patients for
monitoring clinical activities, remote assistants, and preemptive measures, specifically for …
monitoring clinical activities, remote assistants, and preemptive measures, specifically for …