[HTML][HTML] Passive sensing of health outcomes through smartphones: systematic review of current solutions and possible limitations
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 …
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
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 …
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 …
about 700 million people worldwide. These physiological issues need to be consistently …
Activity recognition for diabetic patients using a smartphone
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 …
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 …
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 …
movements while performing daily life activities such as walking, jogging, running, sitting …
Leveraging mobile sensing and bayesian change point analysis to monitor community-scale behavioral interventions: A case study on covid-19
During pandemics, effective interventions require monitoring the problem at different scales
and understanding the various tradeoffs between efficacy, privacy, and economic burden. To …
and understanding the various tradeoffs between efficacy, privacy, and economic burden. To …
Towards breathing as a sensing modality in depth-based activity recognition
Depth imaging has, through recent technological advances, become ubiquitous as products
become smaller, more affordable, and more precise. Depth cameras have also emerged as …
become smaller, more affordable, and more precise. Depth cameras have also emerged as …
A survey of human action recognition using accelerometer data
Recognizing human actions and analyzing human behaviors from accelerometer data has
become a challenging task. Hence, Human Action Recognition (HAR) using inertial sensors …
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
Current digital mental healthcare solutions conventionally take on a reactive approach,
requiring individuals to self-monitor and document existing symptoms. These solutions are …
requiring individuals to self-monitor and document existing symptoms. These solutions are …