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Human Activities

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Stacked deep analytic model for human activity recognition on a UCI HAR database.

F1000Research
Background Owing to low cost and ubiquity, human activity recognition using smartphones is emerging as a trendy mobile application in diverse appliances such as assisted living, healthcare monitoring, etc. Analysing this one-dimensional time-series s...

Adaptive Attention Memory Graph Convolutional Networks for Skeleton-Based Action Recognition.

Sensors (Basel, Switzerland)
Graph Convolutional Networks (GCNs) have attracted a lot of attention and shown remarkable performance for action recognition in recent years. For improving the recognition accuracy, how to build graph structure adaptively, select key frames and extr...

The Convolutional Neural Networks Training With Channel-Selectivity for Human Activity Recognition Based on Sensors.

IEEE journal of biomedical and health informatics
Recently, the state-of-the-art performance in various sensor based human activity recognition (HAR) tasks have been acquired by deep learning, which can extract automatically features from raw data. In order to obtain the best accuracy, many static l...

Confidence-Calibrated Human Activity Recognition.

Sensors (Basel, Switzerland)
Wearable sensors are widely used in activity recognition (AR) tasks with broad applicability in health and well-being, sports, geriatric care, etc. Deep learning (DL) has been at the forefront of progress in activity classification with wearable sens...

Combining Supervised and Unsupervised Learning Algorithms for Human Activity Recognition.

Sensors (Basel, Switzerland)
Human activity recognition is an extensively researched topic in the last decade. Recent methods employ supervised and unsupervised deep learning techniques in which spatial and temporal dependency is modeled. This paper proposes a novel approach for...

Human Activity Classification Using Multilayer Perceptron.

Sensors (Basel, Switzerland)
The number of smart homes is rapidly increasing. Smart homes typically feature functions such as voice-activated functions, automation, monitoring, and tracking events. Besides comfort and convenience, the integration of smart home functionality with...

A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning.

Sensors (Basel, Switzerland)
Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of sensors have encouraged the development of smart environments, such as smart homes. Smart homes can offer home assistance services to improve the quality of lif...

Making space: the natural, cultural, cognitive and social niches of human activity.

Cognitive processing
This paper is in two parts. Part 1 examines the phenomenon of making space as a process involving one or other kind of legal decision-making, for example when a state authority authorizes the creation of a new highway along a certain route or of a ne...

EduNet: A New Video Dataset for Understanding Human Activity in the Classroom Environment.

Sensors (Basel, Switzerland)
Human action recognition in videos has become a popular research area in artificial intelligence (AI) technology. In the past few years, this research has accelerated in areas such as sports, daily activities, kitchen activities, etc., due to develop...

Skeleton-Based Action Recognition Based on Distance Vector and Multihigh View Adaptive Networks.

Computational intelligence and neuroscience
Skeleton-based human action recognition has attracted much attention in the field of computer vision. Most of the previous studies are based on fixed skeleton graphs so that only the local physical dependencies among joints can be captured, resulting...