AIMC Topic: Smartphone

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Automated tongue diagnosis on the smartphone and its applications.

Computer methods and programs in biomedicine
Tongue features are important objective basis for clinical diagnosis and treatment in both western medicine and Chinese medicine. The need for continuous monitoring of health conditions inspires us to develop an automatic tongue diagnosis system base...

Efficient k-NN Implementation for Real-Time Detection of Cough Events in Smartphones.

IEEE journal of biomedical and health informatics
The potential  of telemedicine in respiratory health care has not been completely unveiled in part due to the inexistence of reliable objective measurements of symptoms such as cough. Currently available cough detectors are uncomfortable and expensiv...

Quantum associative memory with linear and non-linear algorithms for the diagnosis of some tropical diseases.

Neural networks : the official journal of the International Neural Network Society
This paper presents the QAMDiagnos, a model of Quantum Associative Memory (QAM) that can be a helpful tool for medical staff without experience or laboratory facilities, for the diagnosis of four tropical diseases (malaria, typhoid fever, yellow feve...

NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment.

Nutrients
Automatic food image recognition systems are alleviating the process of food-intake estimation and dietary assessment. However, due to the nature of food images, their recognition is a particularly challenging task, which is why traditional approache...

Driver behavior profiling: An investigation with different smartphone sensors and machine learning.

PloS one
Driver behavior impacts traffic safety, fuel/energy consumption and gas emissions. Driver behavior profiling tries to understand and positively impact driver behavior. Usually driver behavior profiling tasks involve automated collection of driving da...

Ambient intelligence framework for real-time speech-to-sign translation.

Assistive technology : the official journal of RESNA
Sign language can be used to facilitate communication with and between deaf or hard of hearing (Deaf/HH). With the advent of video streaming applications in smart TVs and mobile devices, it is now possible to use sign language to communicate over wor...

Automatic diet monitoring: a review of computer vision and wearable sensor-based methods.

International journal of food sciences and nutrition
Food intake and eating habits have a significant impact on people's health. Widespread diseases, such as diabetes and obesity, are directly related to eating habits. Therefore, monitoring diet can be a substantial base for developing methods and serv...

Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification.

IEEE transactions on bio-medical engineering
The standard chronic wound assessment method based on visual examination is potentially inaccurate and also represents a significant clinical workload. Hence, computer-based systems providing quantitative wound assessment may be valuable for accurate...

Activity Recognition for Diabetic Patients Using a Smartphone.

Journal of medical systems
Diabetes is a disease that has to be managed through appropriate lifestyle. Technology can help with this, particularly when it is designed so that it does not impose an additional burden on the patient. This paper presents an approach that combines ...

Improved Correction of Atmospheric Pressure Data Obtained by Smartphones through Machine Learning.

Computational intelligence and neuroscience
A correction method using machine learning aims to improve the conventional linear regression (LR) based method for correction of atmospheric pressure data obtained by smartphones. The method proposed in this study conducts clustering and regression ...