OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera

01/16/2020
by   Yuan Liang, et al.
0

Due to a lack of medical resources or oral health awareness, oral diseases are often left unexamined and untreated, affecting a large population worldwide. With the advent of low-cost, sensor-equipped smartphones, mobile apps offer a promising possibility for promoting oral health. However, to the best of our knowledge, no mobile health (mHealth) solutions can directly support a user to self-examine their oral health condition. This paper presents OralCam, the first interactive app that enables end-users' self-examination of five common oral conditions (diseases or early disease signals) by taking smartphone photos of one's oral cavity. OralCam allows a user to annotate additional information (e.g. living habits, pain, and bleeding) to augment the input image, and presents the output hierarchically, probabilistically and with visual explanations to help a laymen user understand examination results. Developed on our in-house dataset that consists of 3,182 oral photos annotated by dental experts, our deep learning based framework achieved an average detection sensitivity of 0.787 over five conditions with high localization accuracy. In a week-long in-the-wild user study (N=18), most participants had no trouble using OralCam and interpreting the examination results. Two expert interviews further validate the feasibility of OralCam for promoting users' awareness of oral health.

READ FULL TEXT

page 1

page 3

page 4

page 5

page 8

research
01/16/2020

OralCam: Enabling Self-Examination and Awareness ofOral Health Using a Smartphone Camera

Due to a lack of medical resources or oral health awareness, oral diseas...
research
08/29/2020

Security Awareness of End-Users of Mobile Health Applications: An Empirical Study

Mobile systems offer portable and interactive computing, empowering user...
research
12/11/2021

Building a Decision Support System for Automated Mobile Asthma Monitoring in Remote Areas

Advances in mobile computing have paved the way for the development of s...
research
09/20/2022

Synapse: Interactive Guidance by Demonstration with Trial-and-Error Support for Older Adults to Use Smartphone Apps

As smartphones are widely adopted, mobile applications (apps) are emergi...
research
06/16/2023

Acoustic Identification of Ae. aegypti Mosquitoes using Smartphone Apps and Residual Convolutional Neural Networks

In this paper, we advocate in favor of smartphone apps as low-cost, easy...
research
11/02/2022

Self-assess Momentary Mood in Mobile Devices: a Case Study with Mature Female Participants

Starting from the assumption that mood has a central role in domain-spec...
research
04/23/2018

Feasibility of sensor-based technology for monitoring health in developing countries - cost analysis and user perception aspects

Understanding the financial burden of chronic diseases in developing reg...

Please sign up or login with your details

Forgot password? Click here to reset