AIMC Topic: Smartphone

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Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques.

Journal of medical systems Feb 17, 2020
Stress is one of the biggest problems in modern society. It may not be possible for people to perceive if they are under high stress or not. It is important to detect stress early and unobtrusively. In this context, stress detection can be considered...
Humans Machine Learning Algorithms Female Smartphone Bayes Theorem Accelerometry Social Environment Inositol Male Reproducibility of Results Stress, Psychological Adolescent Young Adult Time Factors Adult
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Development of a system based on artificial intelligence to identify visual problems in children: study protocol of the TrackAI project.

BMJ open Feb 17, 2020
INTRODUCTION: Around 70% to 80% of the 19 million visually disabled children in the world are due to a preventable or curable disease, if detected early enough. Vision screening in childhood is an evidence-based and cost-effective way to detect visua...
Child Smartphone United States Europe Infant Adolescent Child, Preschool Clinical Trials as Topic Asia Amblyopia Humans Vision Screening Multicenter Studies as Topic Artificial Intelligence Vision Disorders Cost-Benefit Analysis
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Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living.

International journal of environmental research and public health Feb 8, 2020
Physical activity is essential for physical and mental health, and its absence is highly associated with severe health conditions and disorders. Therefore, tracking activities of daily living can help promote quality of life. Wearable sensors in this...
Activities of Daily Living Actigraphy Exercise Smartphone Supervised Machine Learning Algorithms Female Reproducibility of Results Middle Aged Quality of Life Adult Male Humans
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A patient-oriented, general-practitioner-level, deep-learning-based cutaneous pigmented lesion risk classifier on a smartphone.

The British journal of dermatology Feb 3, 2020
Humans Deep Learning Smartphone Skin Skin Diseases
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Hybrid Eye-Tracking on a Smartphone with CNN Feature Extraction and an Infrared 3D Model.

Sensors (Basel, Switzerland) Jan 19, 2020
This paper describes a low-cost, robust, and accurate remote eye-tracking system that uses an industrial prototype smartphone with integrated infrared illumination and camera. Numerous studies have demonstrated the beneficial use of eye-tracking in d...
Neural Networks, Computer Machine Learning Algorithms Smartphone Mobile Applications Humans Eye Movements Image Processing, Computer-Assisted
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Recognition of big data mixed Raman spectra based on deep learning with smartphone as Raman analyzer.

Electrophoresis Jan 13, 2020
Raman spectral detection has emerged as a powerful analytical technique due to the advantages of fast acquisition, non-invasion, and low cost. The on-site application is highly dependent on Raman automatic analysis algorithm. However, current Raman a...
Smartphone Spectrum Analysis, Raman Cloud Computing Algorithms Deep Learning Big Data
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Development and validation of a machine learning, smartphone-based tonometer.

The British journal of ophthalmology Dec 23, 2019
BACKGROUND/AIMS: To compare intraocular pressure (IOP) measurements using a prototype smartphone tonometer with other tonometers used in clinical practice.
Smartphone Glaucoma, Open-Angle Ocular Hypertension Low Tension Glaucoma Glaucoma, Angle-Closure Humans Tonometry, Ocular Machine Learning Female Intraocular Pressure Reproducibility of Results Middle Aged Male Aged Pilot Projects Adult
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Ratiometric fluorescent sensing system for drug residue analysis: Highly sensitive immunosensor using dual-emission quantum dots hybrid and compact smartphone based-device.

Analytica chimica acta Dec 18, 2019
Immunoassays such as the enzyme-linked immunosorbent assay (ELISA) are utilized extensively for detecting protein biomarkers and small molecules in healthcare, environmental monitoring, and food analysis. Unfortunately, the current strategies for imm...
Quantum Dots Drug Residues Tellurium Chickens Silicon Dioxide Glucose Oxidase Cadmium Compounds Limit of Detection Food Contamination Selenium Compounds Poultry Products Animals Immunoassay Printing, Three-Dimensional Hydrogen Peroxide Smartphone
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ISFET and Dex-AgNPs based portable sensor for reusable and real-time determinations of concanavalin A and glucose on smartphone.

Biosensors & bioelectronics Dec 13, 2019
In this paper, a portable real-time sensing device was built for Concanavalin A (Con A) and glucose detection using a smartphone. The ion-sensitive field-effect transistor (ISFET) functioning at a low working point was selected as a small-size, low-p...
Humans Smartphone Biosensing Techniques Metal Nanoparticles Silver Concanavalin A Glucose Ions
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Object Identification and Safe Route Recommendation Based on Human Flow for the Visually Impaired.

Sensors (Basel, Switzerland) Dec 4, 2019
It is difficult for visually impaired people to move indoors and outdoors. In 2018, world health organization (WHO) reported that there were about 253 million people around the world who were moderately visually impaired in distance vision. A navigat...
Humans Persons with Visual Disabilities Sensory Aids Radio Frequency Identification Device Machine Learning Smartphone Walking
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