Towards a Quantified-Self web application for seniors' self-tracking

Billis, Antonis; Batziakas, Asterios; Bamidis, Panagiotis D.

doi:10.1109/imctl.2015.7359610

Cited by 2 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Their applicability varies, covering daily use or professional activities. Each approach is tailored for specific uses such as sports, healthcare, fashion and elders [9][10] [11] making not applicable to other areas and the absence of extensibility and the lock-in to the specific solution is considered as a key factor for their short-shelf life. In addition, there several security and privacy concerns exploiting IoT sensors and systems for activity tracking which rise concerns for end-users and consumers, while the resolution of these issues often introduces heavy complexity and makes their use inconvenient [12] [13].…”

Section: Introduction and Related Workmentioning

confidence: 99%

A Versatile Architecture for Building IoT Quantified-Self Applications

Menychtas¹,

Doukas

Tsanakas

2017

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)

View full text Add to dashboard Cite

The abundance of activity trackers and biosignal sensors as well as the evolution of IoT and communication technologies have considerably advanced the concept of Quantified-Self. Nowadays there are several frameworks and applications that realize the concept, focusing though strictly on specific areas, from daily use to professional activities such as sport and healthcare. This work proposes a versatile, crossdomain solution for building quantified-self applications exploiting the capacities for open-design, modularity and extensibility of the AGILE IoT gateway.

show abstract