SM4ALL Project Logo smart homes for all - use BCIs to control smart homes

The SM4ALL project will investigate an innovative middleware platform for inter-working of smart embedded services in immersive and person-centric environments, through the use of composability and semantic techniques for dynamic service reconfiguration. By leveraging on P2P technologies, the platform is inherently scalable and able to resist to devices' churn and failures, while preserving the privacy of its human users as well as the security of the whole environment. This is applied to the challenging scenario of private houses and home-care assistance in presence of users with different abilities and needs (e.g., young able bodied, aged and disabled).

The specific composition of the Consortium, consisting of top-class universities and research centers (UOR, TUW, RUG, KTH and FOI), two user partners specialized in domotics and home-care assistance (FSL and THFL), an SME specialized in specific brain-computer interfaces (g.tec) and leading companies in the embedded sector (TID and ED) guarantees a widespread dissemination and exploitation of the project results, coupled with a privileged position inside ARTEMIS and ARTEMISIA (due to the presence of UOR, TUW and ED in such bodies).


An EEG based Brain-Computer Interface (BCI) measures and analyzes the electrical brain activity (EEG) to control external devices. BCI systems are based on the P300 response, on slow waves, oscillations in the alpha and beta range or steady-state visual evoked potentials. g.tec develops an EEG-based brain computer for the control of the smart home environment just by thoughts. Such a system allows completely paralyzed patients to control their home environment.