A Thurzo, W Urbanová, B Novák, L Czako, T Siebert… - Healthcare, 2022 - mdpi.com
This literature research had two main objectives. The first objective was to quantify how frequently artificial intelligence (AI) was utilized in dental literature from 2011 until 2021. The …
End-to-end deep learning models are increasingly applied to safety-critical human activity recognition (HAR) applications, eg, healthcare monitoring and smart home control, to reduce …
Modern smartphones and smartwatches are equipped with inertial sensors (accelerometer, gyroscope, and magnetometer) that can be used for Human Activity Recognition (HAR) to …
C Wang, Y Gao, A Mathur, AC De C. Williams… - Proceedings of the …, 2021 - dl.acm.org
Protective behavior exhibited by people with chronic pain (CP) during physical activities is very informative to understanding their physical and emotional states. Existing automatic …
L Tully, A Burls, J Sorensen… - JMIR mHealth and …, 2020 - mhealth.jmir.org
Background The prevalence and consequences of obesity among children and adolescents remain a leading global public health concern, and evidence-based, multidisciplinary …
Y Liang, HW Fan, Z Fang, L Miao, W Li… - Proceedings of the …, 2020 - dl.acm.org
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 …
Ensuring that all the teeth surfaces are adequately covered during daily brushing can reduce the risk of several oral diseases. In this paper, we propose the mTeeth model to …
The ageing population increases the demand for customized home care. As a result, sensing technologies are finding their way into the home environment. However, challenges …
Neglecting proper oral hygiene has proven to potentially lead to severe oral disease, resulting in complications over time. Careful brushing can mitigate the problem, but it is …