Using mobile sensing on smartphones for the management of daily life tasks
Loading...
Author (Corporation)
Publication date
2020
Typ of student thesis
Course of study
Collections
Type
04A - Book part
Editors
Editor (Corporation)
Supervisor
Parent work
New trends in business information systems and technology. Digital innovation and digital business transformation
Special issue
DOI of the original publication
Link
Series
Series number
Volume
Issue / Number
Pages / Duration
63-79
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
Cham
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
Today, all smartphones contain a variety of embedded sensors capable of monitoring and measuring relevant physical qualities and quantities, such as light or noise intensity, rotation and acceleration, magnetic field, humidity, etc. Combining data from these different sensors and deriving new practical information is the way to enhance the capabilities of such sensors, known as sensor fusion or multimodal sensing. However, the authors hypothesize that the sensing technology that is embedded in smartphones may also support daily life task management. Because one of the biggest challenges in mobile sensing on smartphones is the lack of appropriate unified data analysis models and common software toolkits, the authors have developed a prototype for a mobile sensing architecture, called Sensing Things Done (STD). With this prototype, by applying multimodal sensing and gathering sensor data from performing a specific set of tasks, the authors were able to conduct a feasibility study to investigate the hypothesis set above. Having examined to what extent the task-related activities could be detected automatically by using sensors of a standard smartphone, the authors of this chapter describe the conducted study and provide derived recommendations
Keywords
Subject (DDC)
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
978-3-030-48331-9
978-3-030-48332-6
978-3-030-48332-6
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Expert editing/editorial review
Open access category
Closed
License
Citation
Menon, D., Korkut, S., Inglese, T., & Dornberger, R. (2020). Using mobile sensing on smartphones for the management of daily life tasks. In R. Dornberger (Ed.), New trends in business information systems and technology. Digital innovation and digital business transformation (pp. 63–79). Springer. https://doi.org/10.1007/978-3-030-48332-6_5