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Smartphone

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Human Behavior Recognition Model Based on Feature and Classifier Selection.

Sensors (Basel, Switzerland)
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...

Deep Learning Approaches for Continuous Authentication Based on Activity Patterns Using Mobile Sensing.

Sensors (Basel, Switzerland)
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...

Sensor-Fusion for Smartphone Location Tracking Using Hybrid Multimodal Deep Neural Networks.

Sensors (Basel, Switzerland)
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 ...

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
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...

Mobile 5P-Medicine Approach for Cardiovascular Patients.

Sensors (Basel, Switzerland)
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...

Deep Learning Based Early Detection Framework for Preliminary Diagnosis of COVID-19 via Onboard Smartphone Sensors.

Sensors (Basel, Switzerland)
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...

Stacked deep analytic model for human activity recognition on a UCI HAR database.

F1000Research
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-Based Human Sitting Behaviors Recognition Using Inertial Sensor.

Sensors (Basel, Switzerland)
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...

Exploring the art of medical photography - an otolaryngologist's perspective.

The Journal of laryngology and otology
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...

Implementation of artificial intelligence algorithms for melanoma screening in a primary care setting.

PloS one
Skin cancer is currently the most common type of cancer among Caucasians. The increase in life expectancy, along with new diagnostic tools and treatments for skin cancer, has resulted in unprecedented changes in patient care and has generated a great...