Unconscious Signals

[Translate to Engels:] Unconscious Signals - for Elderly Bonding and Care

[Translate to Engels:] Name: Kadian Davis
Advisors:  dr. Jun Hu PDEng MEng, prof.dr.ir. Loe Feijs, Prof. dr. Carlo Regazzoni1  and dr. Lucio Marcenaro1
Funding: Erasmus Mundus Joint Doctorate (EMJD) in Interactive and Cognitive Environments (ICE)), which is funded via the Education, Audiovisual and Culture Executive Agency (EACEA) of the European Commission under EMJD ICE FPA nÂș 2010-0012.


Duration: 2013 to 2016

[Translate to Engels:] Description

[Translate to Engels:] We propose a technological solution as our intervention strategy to support the elderly population and maintain their independence. Moreover, we envision a solution for improving social connectedness, discuss our plans for research and determine its applicability within the elderly market. As it relates, to unconscious signals for elderly bonding and care, our design proposition, the Social Hue is based on the modality of light and consequently will be used to facilitate connectedness between the elderly and their caregivers through the Philips Hue Light. Furthermore, this bidirectional application, Social Hue shall remotely serve as a trigger to inform caregivers of their daily activities within the elderly home and vice versa and will be rendered unconsciously through different light forms.

[Translate to Engels:] Collaboration

[Translate to Engels:] Erasmus Mundus Joint Doctorate (EMJD) in Interactive and Cognitive Environments (ICE).

1The vIdeo and SIgnal Processing For Telecommunications (ISIP40) Research Group, University of Genoa, Italy