Using time use with mobile sensor data: a road to practical mobile activity recognition?

M Borazio, K Van Laerhoven - … of the 12th International Conference on …, 2013 - dl.acm.org
Having mobile devices that are capable of finding out what activity the user is doing, has
been suggested as an attractive way to alleviate interaction with these platforms, and has …

An overview of wearable applications for healthcare: requirements and challenges

V Genaro Motti, K Caine - Adjunct Proceedings of the 2015 ACM …, 2015 - dl.acm.org
The integration of wearable devices with mobile applications has a promising potential for
healthcare in general, and for behavior change in particular. While wearables collect users' …

From personalized medicine to population health: a survey of mHealth sensing techniques

Z Wang, H Xiong, J Zhang, S Yang… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Mobile sensing systems have been widely used as a practical approach to collect
behavioral and health-related information from individuals and to provide timely intervention …

A roadmap to the design of a personal digital life coach

NM Garcia - ICT Innovations 2015: Emerging Technologies for …, 2016 - Springer
The timely and exact detection of abnormal events on the life of someone is one of the
cornerstone of for successful Ambient Assisted Living strategies, either because these …

Towards a federated repository of mobile sensing datasets for pervasive healthcare

J Favela, LA Castro, L Michan - … of the 10th EAI International Conference …, 2016 - dl.acm.org
Mobile sensing is becoming a popular approach to infer patterns of activities and behavior to
determine how they affect health and wellbeing. This data-driven approach to discovery has …

Human sensors on the move

D Ferreira, V Kostakos, I Schweizer - Participatory sensing, opinions and …, 2017 - Springer
In this section we provide an extensive summary of human sensors on the move, or mobile
systems that are designed to collect data from smartphones that users carry in their everyday …

Employing environmental data and machine learning to improve mobile health receptivity

MM Theilig, JJ Korbel, G Mayer, C Hoffmann… - IEEE …, 2019 - ieeexplore.ieee.org
Behavioral intervention strategies can be enhanced by recognizing human activities using
eHealth technologies. As we find after a thorough literature review, activity spotting and …

Activity recognition for everyday life on mobile phones

G Bieber, J Voskamp, B Urban - … Conference, UAHCI 2009, Held as Part of …, 2009 - Springer
Mobile applications for activity monitoring are regarded as a high potential field for efficient
improvement of health care solutions. The measurement of physical activity within every-day …

Ambient and smartphone sensor assisted ADL recognition in multi-inhabitant smart environments

N Roy, A Misra, D Cook - Journal of ambient intelligence and humanized …, 2016 - Springer
Activity recognition in smart environments is an evolving research problem due to the
advancement and proliferation of sensing, monitoring and actuation technologies to make it …

Smartphone-based human activity recognition

JL Reyes Ortiz - 2014 - upcommons.upc.edu
Human Activity Recognition (HAR) is a multidisciplinary research field that aims to gather
data regarding people's behavior and their interaction with the environment in order to …