Automated mobile sensing strategies generation for human behaviour understanding
Mobile sensing plays a crucial role in generating digital traces to understand human daily
lives. However, studying behaviours like mood or sleep quality in smartphone users requires …
lives. However, studying behaviours like mood or sleep quality in smartphone users requires …
Mobile sensing: Leveraging machine learning for efficient human behavior modeling
EK Barrett, CM Fard, HN Katinas… - 2020 Systems and …, 2020 - ieeexplore.ieee.org
Smartphones can collect millions of data points from each of its users daily, contributing to a
significant change in how the healthcare community approaches health monitoring. This …
significant change in how the healthcare community approaches health monitoring. This …
[HTML][HTML] A review on scaling mobile sensing platforms for human activity recognition: challenges and recommendations for future research
LI Carvalho, RC Sofia - IoT, 2020 - mdpi.com
Mobile sensing has been gaining ground due to the increasing capabilities of mobile and
personal devices that are carried around by citizens, giving access to a large variety of data …
personal devices that are carried around by citizens, giving access to a large variety of data …
GLOBEM: cross-dataset generalization of longitudinal human behavior modeling
There is a growing body of research revealing that longitudinal passive sensing data from
smartphones and wearable devices can capture daily behavior signals for human behavior …
smartphones and wearable devices can capture daily behavior signals for human behavior …
Towards multi-modal anticipatory monitoring of depressive states through the analysis of human-smartphone interaction
Remarkable advances in smartphone technology, especially in terms of passive sensing,
have enabled researchers to passively monitor user behavior in real-time and at a …
have enabled researchers to passively monitor user behavior in real-time and at a …
Leveraging collaborative-filtering for personalized behavior modeling: a case study of depression detection among college students
The prevalence of mobile phones and wearable devices enables the passive capturing and
modeling of human behavior at an unprecedented resolution and scale. Past research has …
modeling of human behavior at an unprecedented resolution and scale. Past research has …
[HTML][HTML] Understanding practices and needs of researchers in human state modeling by passive mobile sensing
Passive mobile sensing for the purpose of human state modeling is a fast-growing area. It
has been applied to solve a wide range of behavior-related problems, including physical …
has been applied to solve a wide range of behavior-related problems, including physical …
MINDSET: A benchMarking suIte exploring seNsing Data for SElf sTates inference
C Karagianni, E Paraschou… - 2023 IEEE 10th …, 2023 - ieeexplore.ieee.org
Ubiquitous devices, such as smartphones and wearables, are becoming increasingly
popular for monitoring user behavior, health, and well-being. Through omnipresent …
popular for monitoring user behavior, health, and well-being. Through omnipresent …
BeSense: Leveraging WiFi channel data and computational intelligence for behavior analysis
The ever-evolving informatics technology has gradually bounded human and computer in a
compact way. Understanding user behavior becomes a key enabler in many fields such as …
compact way. Understanding user behavior becomes a key enabler in many fields such as …
Vision2sensor: Knowledge transfer across sensing modalities for human activity recognition
V Radu, M Henne - Proceedings of the ACM on Interactive, Mobile …, 2019 - dl.acm.org
Mobile and wearable sensing devices are pervasive, coming packed with a growing number
of sensors. These are supposed to provide direct observations about user activity and …
of sensors. These are supposed to provide direct observations about user activity and …