A review of IoT-enabled mobile healthcare: technologies, challenges, and future trends

Y Yang, H Wang, R Jiang, X Guo… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) has grown over decades to encompass many forms of sensing
modalities, and continues to improve in terms of sophistication and lower costs. The trend of …

A survey on big data-driven digital phenotyping of mental health

Y Liang, X Zheng, DD Zeng - Information Fusion, 2019 - Elsevier
The landscape of mental health has undergone tremendous changes within the last two
decades, but the research on mental health is still at the initial stage with substantial …

EarBit: using wearable sensors to detect eating episodes in unconstrained environments

A Bedri, R Li, M Haynes, RP Kosaraju, I Grover… - Proceedings of the …, 2017 - dl.acm.org
Chronic and widespread diseases such as obesity, diabetes, and hypercholesterolemia
require patients to monitor their food intake, and food journaling is currently the most …

Delivering home healthcare through a cloud-based smart home environment (CoSHE)

M Pham, Y Mengistu, H Do, W Sheng - Future Generation Computer …, 2018 - Elsevier
The dramatic increase of senior population worldwide is challenging the existing healthcare
and support systems. Recently, smart home environments are utilized for ubiquitous health …

Wearable food intake monitoring technologies: A comprehensive review

T Vu, F Lin, N Alshurafa, W Xu - Computers, 2017 - mdpi.com
Wearable devices monitoring food intake through passive sensing is slowly emerging to
complement self-reporting of users' caloric intake and eating behaviors. Though the ultimate …

Human activity classification using Decision Tree and Naive Bayes classifiers

K Maswadi, NA Ghani, S Hamid… - Multimedia Tools and …, 2021 - Springer
With rapid development in wireless sensor networks and continuous improvements in
developing artificial intelligence-based scientific solutions, the concept of ambient assisted …

Fitbyte: Automatic diet monitoring in unconstrained situations using multimodal sensing on eyeglasses

A Bedri, D Li, R Khurana, K Bhuwalka… - Proceedings of the 2020 …, 2020 - dl.acm.org
In an attempt to help users reach their health goals and practitioners understand the
relationship between diet and disease, researchers have proposed many wearable systems …

Monitoring chewing and eating in free-living using smart eyeglasses

R Zhang, O Amft - IEEE journal of biomedical and health …, 2017 - ieeexplore.ieee.org
We propose to 3-D-print personal fitted regular-look smart eyeglasses frames equipped with
bilateral electromyography recording to monitor temporalis muscles' activity for automatic …

Sensor-driven achieving of smart living: A review

P Leelaarporn, P Wachiraphan, T Kaewlee… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
This comprehensive review mainly analyzes and summarizes the recently published works
on IEEExplore in sensor-driven smart living contexts. We have gathered over 150 research …

[HTML][HTML] Oral wearable sensors: health management based on the oral cavity

Y Li, H Tang, Y Liu, Y Qiao, H Xia, J Zhou - Biosensors and Bioelectronics …, 2022 - Elsevier
Wearable sensors have garnered considerable interest from humans over the past decades
owing to their broad application prospects and huge development potential. Yet the limited …