[HTML][HTML] Passive sensing of health outcomes through smartphones: systematic review of current solutions and possible limitations

A Trifan, M Oliveira, JL Oliveira - JMIR mHealth and uHealth, 2019 - mhealth.jmir.org
Background: Technological advancements, together with the decrease in both price and
size of a large variety of sensors, has expanded the role and capabilities of regular mobile …

[HTML][HTML] Mobile and wearable technology for the monitoring of diabetes-related parameters: Systematic review

C Rodriguez-León, C Villalonga… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background Diabetes mellitus is a metabolic disorder that affects hundreds of millions of
people worldwide and causes several million deaths every year. Such a dramatic scenario …

Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review

A Gopalakrishnan, R Venkataraman… - PeerJ Computer …, 2022 - peerj.com
Mental health issues are a serious consequence of the COVID-19 pandemic, influencing
about 700 million people worldwide. These physiological issues need to be consistently …

Activity recognition for diabetic patients using a smartphone

B Cvetković, V Janko, AE Romero, Ö Kafalı… - Journal of medical …, 2016 - Springer
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 …

From multimedia logs to personal chronicles

H Oh, R Jain - Proceedings of the 25th ACM international conference …, 2017 - dl.acm.org
Multimodal data streams are essential for analyzing personal life, environmental conditions,
and social situations. Since these data streams have different granularities and semantics …

A novel random split point procedure using extremely randomized (Extra) trees ensemble method for human activity recognition

B Padmaja, VVR Prasa… - … Endorsed Transactions on …, 2020 - publications.eai.eu
INTRODUCTION: Automatic detection and recognition of various human physical
movements while performing daily life activities such as walking, jogging, running, sitting …

Towards breathing as a sensing modality in depth-based activity recognition

J Kempfle, K Van Laerhoven - Sensors, 2020 - mdpi.com
Depth imaging has, through recent technological advances, become ubiquitous as products
become smaller, more affordable, and more precise. Depth cameras have also emerged as …

Leveraging mobile sensing and bayesian change point analysis to monitor community-scale behavioral interventions: A case study on covid-19

S Kumar, D Datta, G Dong, L Cai… - ACM Transactions on …, 2022 - dl.acm.org
During pandemics, effective interventions require monitoring the problem at different scales
and understanding the various tradeoffs between efficacy, privacy, and economic burden. To …

A survey of human action recognition using accelerometer data

A Mimouna, A Ben Khalifa - Advanced Sensors for Biomedical …, 2021 - Springer
Recognizing human actions and analyzing human behaviors from accelerometer data has
become a challenging task. Hence, Human Action Recognition (HAR) using inertial sensors …

Personal mental health navigator: harnessing the power of data, personal models, and health cybernetics to promote psychological well-being

AM Rahmani, J Lai, S Jafarlou, I Azimi… - Frontiers in Digital …, 2022 - frontiersin.org
Current digital mental healthcare solutions conventionally take on a reactive approach,
requiring individuals to self-monitor and document existing symptoms. These solutions are …