AIMC Topic: Smartphone

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Path Generator with Unpaired Samples Employing Generative Adversarial Networks.

Sensors (Basel, Switzerland) Dec 2, 2022
Interactive technologies such as augmented reality have grown in popularity, but specialized sensors and high computer power must be used to perceive and analyze the environment in order to obtain an immersive experience in real time. However, these ...
Neural Networks, Computer Smartphone Augmented Reality Machine Learning Image Processing, Computer-Assisted
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Portable, Automated and Deep-Learning-Enabled Microscopy for Smartphone-Tethered Optical Platform Towards Remote Homecare Diagnostics: A Review.

Small methods Nov 24, 2022
Globally new pandemic diseases induce urgent demands for portable diagnostic systems to prevent and control infectious diseases. Smartphone-based portable diagnostic devices are significantly efficient tools to user-friendly connect personalized heal...
Microscopy Humans Smartphone COVID-19 Lenses Deep Learning
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Matched Filter Interpretation of CNN Classifiers with Application to HAR.

Sensors (Basel, Switzerland) Oct 21, 2022
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...
Neural Networks, Computer Machine Learning Smartphone Human Activities Humans
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A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications.

Sensors (Basel, Switzerland) Oct 20, 2022
Digital clinical measures collected via various digital sensing technologies such as smartphones, smartwatches, wearables, and ingestible and implantable sensors are increasingly used by individuals and clinicians to capture the health outcomes or b...
Machine Learning Algorithms Humans Time Factors Smartphone
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HIT HAR: Human Image Threshing Machine for Human Activity Recognition Using Deep Learning Models.

Computational intelligence and neuroscience Oct 6, 2022
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 ...
Smartphone Neural Networks, Computer Humans Deep Learning Human Activities Movement
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Smartphone Sensor-Based Human Motion Characterization with Neural Stochastic Differential Equations and Transformer Model.

Sensors (Basel, Switzerland) Oct 2, 2022
With many conveniences afforded by advances in smartphone technology, developing advanced data analysis methods for health-related information from smartphone users has become a fast-growing research topic in the healthcare field. Along these lines, ...
Humans Neural Networks, Computer Electric Power Supplies Natural Language Processing Motion Smartphone
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Visual body composition assessment methods: A 4-compartment model comparison of smartphone-based artificial intelligence for body composition estimation in healthy adults.

Clinical nutrition (Edinburgh, Scotland) Sep 29, 2022
BACKGROUND & AIMS: Visual body composition (VBC) estimates produced from smartphone-based artificial intelligence represent a user-friendly and convenient way to automate body composition remotely and without the inherent geographical and monetary re...
Electric Impedance Artificial Intelligence Reproducibility of Results Humans Smartphone Absorptiometry, Photon Body Composition Adult
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Practical and Accurate Indoor Localization System Using Deep Learning.

Sensors (Basel, Switzerland) Sep 7, 2022
Indoor localization is an important technology for providing various location-based services to smartphones. Among the various indoor localization technologies, pedestrian dead reckoning using inertial measurement units is a simple and highly practic...
Humans Algorithms Walking Deep Learning Pedestrians Smartphone
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Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects.

Computers in biology and medicine Sep 1, 2022
Human Activity Recognition (HAR) plays a significant role in the everyday life of people because of its ability to learn extensive high-level information about human activity from wearable or stationary devices. A substantial amount of research has b...
Human Activities Information Storage and Retrieval Humans Neural Networks, Computer Smartphone Privacy
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Lightweight On-Device Detection of Android Malware Based on the Koodous Platform and Machine Learning.

Sensors (Basel, Switzerland) Aug 31, 2022
Currently, Android is the most popular operating system among mobile devices. However, as the number of devices with the Android operating system increases, so does the danger of using them. This is especially important as smartphones increasingly au...
Software Smartphone Neural Networks, Computer Machine Learning Data Collection
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