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Human Activities

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Human Action Recognition: A Paradigm of Best Deep Learning Features Selection and Serial Based Extended Fusion.

Sensors (Basel, Switzerland)
Human action recognition (HAR) has gained significant attention recently as it can be adopted for a smart surveillance system in Multimedia. However, HAR is a challenging task because of the variety of human actions in daily life. Various solutions b...

HARTH: A Human Activity Recognition Dataset for Machine Learning.

Sensors (Basel, Switzerland)
Existing accelerometer-based human activity recognition (HAR) benchmark datasets that were recorded during free living suffer from non-fixed sensor placement, the usage of only one sensor, and unreliable annotations. We make two contributions in this...

Human Behavior Recognition Model Based on Feature and Classifier Selection.

Sensors (Basel, Switzerland)
With the rapid development of the computer and sensor field, inertial sensor data have been widely used in human activity recognition. At present, most relevant studies divide human activities into basic actions and transitional actions, in which bas...

Federated personalized random forest for human activity recognition.

Mathematical biosciences and engineering : MBE
User data usually exists in the organization or own local equipment in the form of data island. It is difficult to collect these data to train better machine learning models because of the General Data Protection Regulation (GDPR) and other laws. The...

Sensor-Based Human Activity Recognition Using Adaptive Class Hierarchy.

Sensors (Basel, Switzerland)
In sensor-based human activity recognition, many methods based on convolutional neural networks (CNNs) have been proposed. In the typical CNN-based activity recognition model, each class is treated independently of others. However, actual activity cl...

Wearable IMU-Based Human Activity Recognition Algorithm for Clinical Balance Assessment Using 1D-CNN and GRU Ensemble Model.

Sensors (Basel, Switzerland)
In this study, a wearable inertial measurement unit system was introduced to assess patients via the Berg balance scale (BBS), a clinical test for balance assessment. For this purpose, an automatic scoring algorithm was developed. The principal aim o...

Human Activity Recognition: A Dynamic Inductive Bias Selection Perspective.

Sensors (Basel, Switzerland)
In this article, we study activity recognition in the context of sensor-rich environments. In these environments, many different constraints arise at various levels during the data generation process, such as the intrinsic characteristics of the sens...

A CSI-Based Human Activity Recognition Using Deep Learning.

Sensors (Basel, Switzerland)
The Internet of Things (IoT) has become quite popular due to advancements in Information and Communications technologies and has revolutionized the entire research area in Human Activity Recognition (HAR). For the HAR task, vision-based and sensor-ba...

HARNAS: Human Activity Recognition Based on Automatic Neural Architecture Search Using Evolutionary Algorithms.

Sensors (Basel, Switzerland)
Human activity recognition (HAR) based on wearable sensors is a promising research direction. The resources of handheld terminals and wearable devices limit the performance of recognition and require lightweight architectures. With the development of...

Optimizing Sensor Position with Virtual Sensors in Human Activity Recognition System Design.

Sensors (Basel, Switzerland)
Human activity recognition (HAR) systems combined with machine learning normally serve users based on a fixed sensor position interface. Variations in the installing position will alter the performance of the recognition and will require a new traini...