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Human Activities

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Comparison of machine learning techniques for the identification of human activities from inertial sensors available in a mobile device after the application of data imputation techniques.

Computers in biology and medicine
Human activity recognition (HAR) is a significant research area due to its wide range of applications in intelligent health systems, security, and entertainment games. Over the past few years, many studies have recognized human daily living activitie...

Scaling Human-Object Interaction Recognition in the Video through Zero-Shot Learning.

Computational intelligence and neuroscience
Recognition of human activities is an essential field in computer vision. The most human activity consists of the interaction between humans and objects. Many successful works have been done on human-object interaction (HOI) recognition and achieved ...

An Efficient and Lightweight Deep Learning Model for Human Activity Recognition Using Smartphones.

Sensors (Basel, Switzerland)
Traditional pattern recognition approaches have gained a lot of popularity. However, these are largely dependent upon manual feature extraction, which makes the generalized model obscure. The sequences of accelerometer data recorded can be classified...

High Accuracy WiFi-Based Human Activity Classification System with Time-Frequency Diagram CNN Method for Different Places.

Sensors (Basel, Switzerland)
Older people are very likely to fall, which is a significant threat to the health. However, falls are preventable and are not necessarily an inevitable part of aging. Many different fall detection systems have been developed to help people avoid fall...

Device-Free Human Activity Recognition with Low-Resolution Infrared Array Sensor Using Long Short-Term Memory Neural Network.

Sensors (Basel, Switzerland)
Sensor-based human activity recognition (HAR) has attracted enormous interests due to its wide applications in the Internet of Things (IoT), smart homes and healthcare. In this paper, a low-resolution infrared array sensor-based HAR approach is propo...

Development and validation of smartwatch-based activity recognition models for rigging crew workers on cable logging operations.

PloS one
Analysis of high-resolution inertial sensor and global navigation satellite system (GNSS) data collected by mobile and wearable devices is a relatively new methodology in forestry and safety research that provides opportunities for modeling work acti...

Using Direct Acyclic Graphs to Enhance Skeleton-Based Action Recognition with a Linear-Map Convolution Neural Network.

Sensors (Basel, Switzerland)
Research on the human activity recognition could be utilized for the monitoring of elderly people living alone to reduce the cost of home care. Video sensors can be easily deployed in the different zones of houses to achieve monitoring. The goal of t...

New Sensor Data Structuring for Deeper Feature Extraction in Human Activity Recognition.

Sensors (Basel, Switzerland)
For the effective application of thriving human-assistive technologies in healthcare services and human-robot collaborative tasks, computing devices must be aware of human movements. Developing a reliable real-time activity recognition method for the...

Study on Human Activity Recognition Using Semi-Supervised Active Transfer Learning.

Sensors (Basel, Switzerland)
In recent years, various studies have begun to use deep learning models to conduct research in the field of human activity recognition (HAR). However, there has been a severe lag in the absolute development of such models since training deep learning...

Wi-Fi-Based Location-Independent Human Activity Recognition via Meta Learning.

Sensors (Basel, Switzerland)
Wi-Fi-based device-free human activity recognition has recently become a vital underpinning for various emerging applications, ranging from the Internet of Things (IoT) to Human-Computer Interaction (HCI). Although this technology has been successful...