AIMC Topic: Computers, Handheld

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UJAmI Location: A Fuzzy Indoor Location System for the Elderly.

International journal of environmental research and public health Aug 6, 2021
Due to the large number of elderly people with physical and cognitive issues, there is a strong need to provide indoor location systems that help caregivers monitor as many people as possible and with the best quality possible. In this paper, a fuzzy...
Aged Fuzzy Logic Computers, Handheld Humans
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An Unsupervised Learning-Based Spatial Co-Location Detection System from Low-Power Consumption Sensor.

Sensors (Basel, Switzerland) Jul 13, 2021
Spatial co-location detection is the task of inferring the co-location of two or more objects in the geographic space. Mobile devices, especially a smartphone, are commonly employed to accomplish this task with the human object. Previous work focused...
Humans Algorithms Computers, Handheld Smartphone Unsupervised Machine Learning
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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 Jul 7, 2021
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...
Machine Learning Humans Activities of Daily Living Computers, Handheld Algorithms Human Activities
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Gait-Based Implicit Authentication Using Edge Computing and Deep Learning for Mobile Devices.

Sensors (Basel, Switzerland) Jul 5, 2021
Implicit authentication mechanisms are expected to prevent security and privacy threats for mobile devices using behavior modeling. However, recently, researchers have demonstrated that the performance of behavioral biometrics is insufficiently accur...
Gait Computers, Handheld Privacy Biometric Identification Deep Learning
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An Overview of Machine Learning within Embedded and Mobile Devices-Optimizations and Applications.

Sensors (Basel, Switzerland) Jun 28, 2021
Embedded systems technology is undergoing a phase of transformation owing to the novel advancements in computer architecture and the breakthroughs in machine learning applications. The areas of applications of embedded machine learning (EML) include ...
Computers, Handheld Neural Networks, Computer Machine Learning Algorithms Support Vector Machine
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Comparison of Acceptance and Knowledge Transfer in Patient Information Before an MRI Exam Administered by Humanoid Robot Versus a Tablet Computer: A Randomized Controlled Study.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Jun 10, 2021
PURPOSE:  To investigate whether a humanoid robot in a clinical radiological setting is accepted as a source of information in conversations before MRI examinations of patients. In addition, the usability and the information transfer were compared wi...
Surveys and Questionnaires Magnetic Resonance Imaging Humans Computers, Handheld Robotics Radiology
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KecNet: A Light Neural Network for Arrhythmia Classification Based on Knowledge Reinforcement.

Journal of healthcare engineering Apr 24, 2021
Acquiring electrocardiographic (ECG) signals and performing arrhythmia classification in mobile device scenarios have the advantages of short response time, almost no network bandwidth consumption, and human resource savings. In recent years, deep ne...
Humans Algorithms Electrocardiography Signal Processing, Computer-Assisted Neural Networks, Computer Computers, Handheld Arrhythmias, Cardiac
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HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning.

Journal of medical Internet research Mar 15, 2021
The collection of data from a personal digital device to characterize current health conditions and behaviors that determine how an individual's health will evolve has been called digital phenotyping. In this paper, we describe the development of and...
Data Collection Computers, Handheld Mobile Applications Schizophrenia Machine Learning Humans Research Design Wearable Electronic Devices Phenotype Smartphone
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Leveraging interpretable machine learning algorithms to predict postoperative patient outcomes on mobile devices.

Surgery Sep 9, 2020
Setting patient and family expectations for postoperative outcomes is an important aspect of care, a cornerstone of which is accurate, personalized, and explainable risk estimation. Modern machine learning offers a plethora of models that can effecti...
Computers, Handheld Disease Management General Surgery Telemedicine Algorithms Outcome Assessment, Health Care Humans Risk Factors Clinical Decision-Making Postoperative Complications Machine Learning Risk Assessment Models, Theoretical Postoperative Care
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Grid-Based Mobile Robot Path Planning Using Aging-Based Ant Colony Optimization Algorithm in Static and Dynamic Environments.

Sensors (Basel, Switzerland) Mar 28, 2020
Planning an optimal path for a mobile robot is a complicated problem as it allows the mobile robots to navigate autonomously by following the safest and shortest path between starting and goal points. The present work deals with the design of intelli...
Computer Systems Algorithms Humans Motion Computer Simulation Artificial Intelligence Robotics Computers, Handheld
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