University of Twente Student Theses

Login

Identification of Profiles Based on Physical Behaviour Patterns

Sleutjes, A.R. (2020) Identification of Profiles Based on Physical Behaviour Patterns.

[img] PDF
2MB
Abstract:Continuous monitoring of physical activity using wearable technology is becoming ubiquitous and allows for real-time interventions through digital means aiming at the promotion of an active lifestyle. Many people use fitness apps and wearable technology to support it. However, digital health interventions still pose some problems in their effectiveness and usability. Bad tailoring of the interventions has been recognised as one of the main problems. As a result, there is a sudden drop in adherence to digital health interventions after a novelty period. A one-size-fits-all solution is likely to be ineffective, thus there is a need for personally customised interventions. This project applies knowledge discovery techniques to physical activity data and some contextual variables to find patterns which can support personally tailored and comprehensible interventions. It also takes into account the additional dimension of the experienced pleasure during activity.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:https://purl.utwente.nl/essays/80587
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page