AIMC Topic: Smartphone

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Identification of public submitted tick images: A neural network approach.

PloS one Dec 2, 2021
Ticks and tick-borne diseases represent a growing public health threat in North America and Europe. The number of ticks, their geographical distribution, and the incidence of tick-borne diseases, like Lyme disease, are all on the rise. Accurate, real...
Tick-Borne Diseases Smartphone Mobile Applications Animals Ixodes Humans Image Processing, Computer-Assisted Amblyomma Dermacentor Neural Networks, Computer Ticks
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Human Behavior Recognition Model Based on Feature and Classifier Selection.

Sensors (Basel, Switzerland) Nov 23, 2021
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...
Humans Algorithms Smartphone Support Vector Machine Human Activities
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Deep Learning Approaches for Continuous Authentication Based on Activity Patterns Using Mobile Sensing.

Sensors (Basel, Switzerland) Nov 12, 2021
Smartphones as ubiquitous gadgets are rapidly becoming more intelligent and context-aware as sensing, networking, and processing capabilities advance. These devices provide users with a comprehensive platform to undertake activities such as socializi...
Smartphone Privacy Computers, Handheld Exercise Deep Learning
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Sensor-Fusion for Smartphone Location Tracking Using Hybrid Multimodal Deep Neural Networks.

Sensors (Basel, Switzerland) Nov 11, 2021
Many engineered approaches have been proposed over the years for solving the hard problem of performing indoor localization using smartphone sensors. However, specialising these solutions for difficult edge cases remains challenging. Here we propose ...
Neural Networks, Computer Smartphone Humans
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Characterisation of Temporal Patterns in Step Count Behaviour from Smartphone App Data: An Unsupervised Machine Learning Approach.

International journal of environmental research and public health Oct 31, 2021
The increasing ubiquity of smartphone data, with greater spatial and temporal coverage than achieved by traditional study designs, have the potential to provide insight into habitual physical activity patterns. This study implements and evaluates the...
Exercise Cluster Analysis Smartphone Unsupervised Machine Learning Mobile Applications
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Mobile 5P-Medicine Approach for Cardiovascular Patients.

Sensors (Basel, Switzerland) Oct 21, 2021
Medicine is heading towards personalized care based on individual situations and conditions. With smartphones and increasingly miniaturized wearable devices, the sensors available on these devices can perform long-term continuous monitoring of severa...
Quality of Life Wearable Electronic Devices Smartphone Artificial Intelligence Humans Delivery of Health Care
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Deep Learning Based Early Detection Framework for Preliminary Diagnosis of COVID-19 via Onboard Smartphone Sensors.

Sensors (Basel, Switzerland) Oct 15, 2021
The COVID-19 pandemic has affected almost every country causing devastating economic and social disruption and stretching healthcare systems to the limit. Furthermore, while being the current gold standard, existing test methods including NAAT (Nucle...
Smartphone SARS-CoV-2 Deep Learning Humans Artificial Intelligence Pandemics COVID-19
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Stacked deep analytic model for human activity recognition on a UCI HAR database.

F1000Research Oct 15, 2021
Background Owing to low cost and ubiquity, human activity recognition using smartphones is emerging as a trendy mobile application in diverse appliances such as assisted living, healthcare monitoring, etc. Analysing this one-dimensional time-series s...
Smartphone Delivery of Health Care Humans Human Activities Neural Networks, Computer Databases, Factual
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Smartphone-Based Human Sitting Behaviors Recognition Using Inertial Sensor.

Sensors (Basel, Switzerland) Oct 7, 2021
At present, people spend most of their time in passive rather than active mode. Sitting with computers for a long time may lead to unhealthy conditions like shoulder pain, numbness, headache, etc. To overcome this problem, human posture should be cha...
Support Vector Machine Monitoring, Physiologic Male Smartphone Bayes Theorem Algorithms Female Young Adult Adult Humans
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Exploring the art of medical photography - an otolaryngologist's perspective.

The Journal of laryngology and otology Oct 1, 2021
BACKGROUND: Modern day otolaryngology has expanded beyond the ear, nose and throat to include head and neck surgery and aesthetic facial procedures. Photographic documentation is important within this expanded horizon. The spectrum of clinical photog...
Artificial Intelligence Smartphone Humans Otolaryngologists Documentation Photography
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