AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Human Activities

Showing 111 to 120 of 327 articles

Clear Filters

Skeleton-Based Human Pose Recognition Using Channel State Information: A Survey.

Sensors (Basel, Switzerland)
With the increasing demand for human-computer interaction and health monitoring, human behavior recognition with device-free patterns has attracted extensive attention. The fluctuations of the Wi-Fi signal caused by human actions in a Wi-Fi coverage ...

Experiments on Adversarial Examples for Deep Learning Model Using Multimodal Sensors.

Sensors (Basel, Switzerland)
Recently, artificial intelligence (AI) based on IoT sensors has been widely used, which has increased the risk of attacks targeting AI. Adversarial examples are among the most serious types of attacks in which the attacker designs inputs that can cau...

A Novel Deep Neural Network Method for HAR-Based Team Training Using Body-Worn Inertial Sensors.

Sensors (Basel, Switzerland)
Human activity recognition (HAR) became a challenging issue in recent years. In this paper, we propose a novel approach to tackle indistinguishable activity recognition based on human wearable sensors. Generally speaking, vision-based solutions strug...

Incremental Learning of Human Activities in Smart Homes.

Sensors (Basel, Switzerland)
Sensor-based human activity recognition has been extensively studied. Systems learn from a set of training samples to classify actions into a pre-defined set of ground truth activities. However, human behaviours vary over time, and so a recognition s...

An Overview of Indoor Localization System for Human Activity Recognition (HAR) in Healthcare.

Sensors (Basel, Switzerland)
The number of older people needing healthcare is a growing global phenomenon. The assistance in long-term care comprises a complex of medical, nursing, rehabilitation, and social assistance services. The cost is substantial, but technology can help r...

SDHAR-HOME: A Sensor Dataset for Human Activity Recognition at Home.

Sensors (Basel, Switzerland)
Nowadays, one of the most important objectives in health research is the improvement of the living conditions and well-being of the elderly, especially those who live alone. These people may experience undesired or dangerous situations in their daily...

Matched Filter Interpretation of CNN Classifiers with Application to HAR.

Sensors (Basel, Switzerland)
Time series classification is an active research topic due to its wide range of applications and the proliferation of sensory data. Convolutional neural networks (CNNs) are ubiquitous in modern machine learning (ML) models. In this work, we present a...

HIT HAR: Human Image Threshing Machine for Human Activity Recognition Using Deep Learning Models.

Computational intelligence and neuroscience
In recent days, research in human activity recognition (HAR) has played a significant role in healthcare systems. The accurate activity classification results from the HAR enhance the performance of the healthcare system with broad applications. HAR ...

Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition.

Sensors (Basel, Switzerland)
Human Activity Recognition (HAR) has been studied extensively, yet current approaches are not capable of generalizing across different domains (i.e., subjects, devices, or datasets) with acceptable performance. This lack of generalization hinders the...

Predictive Model for Human Activity Recognition Based on Machine Learning and Feature Selection Techniques.

International journal of environmental research and public health
Research into assisted living environments -within the area of Ambient Assisted Living (ALL)-focuses on generating innovative technology, products, and services to provide medical treatment and rehabilitation to the elderly, with the purpose of incre...