Scenario 3

high-tech informal care (private home) or formal care settings (nursing home)

James is an elderly user (aged 67) with mild mobility or cognitive impairments (e.g. light dementia due to age) and lives in a single person household (or in a nursing home with other elderly persons). He suffers from COPD (Chronic Obstructive Pulmonary Disease) and diabetes and needs to measure his blood oxygen and/or blood glucose level daily, as well as other biosignals and his mental state.

James has also bought an UNCAP BOX with two additional UNCAP-compatible sensors, for measurement of blood glucose and/or blood oxygen levels (see Fig. 58). James has also a smartphone (or tablet or smart watch) to run the UNCAP App. To better support him with assistance at home and to support tele-monitoring, he recently had his house refurbished and fitted with various sensors as well as with a building automation system by SIEMENS (partner of UNCAP) to control lighting systems, shading, climate etc. The building automation system is compliant with the KNX standard (conforms to EN 50090 and ISO/IEC 14543) and therefore can be controlled by UNCAP. Lastly, the house is also equipped with UNCAP- compatible sensor floor (by partner FUTURE) that can be used to track the location of people and identify when someone has fallen, and to provide activity monitoring.

senior-599806_1280On a daily basis, James uses UNCAP’s user-friendly interface and web-based social networking/video-conferencing features to communicate with friends, family members and –most notably- with caretakers for routine checks. During one of these routine checks with the medical helpdesk, based on latest information from blood glucose and/or blood oxygen levels, James’ doctor prescribes a daily check of both values and adds this schedule to James’ calendar (which can be used for medical and non-medical events). Periodic checks are assessed and the appropriate actions suggested for taking the appropriate medicine from the cabinet.

Historic information from the checks is stored in encrypted form within the UNCAP CLOUD managed by the private care service provider. The cloud features high level of security and whenever each party receives data it is re-encrypted uniquely thus ensuring cryptographic separation of each recipient’s data and allowing audit by both key management and document distribution.

At the due time, UNCAP reminder service recalls James through “contextualised” reminders that are adapted to the specific context. According to the situation James is in, UNCAP autonomously takes the appropriate actions to produce alerts using the most appropriate objects (through semantic assessment of connected object descriptions) which are “qualified” to raise his attention: this could be a smartphone ringtone, a buzzer, flashing light in the room (through command sent to the building automation system), a message on TV etc.

high-blood-pressure-247139_1280Following acknowledgement of such alerts James is reminded through his App about how (and where) to properly perform the test and, in case of need, he is also guided to the place in the house where the medicine is located. In extreme cases, tele-monitoring is activated with his doctors / caretakers.

One night, James wakes up and stands from his bed in a state of partial confusion. UNCAP recognises his movements thanks to a night vision video camera or sensor flooring. UNCAP automatically turns on soft lights (through a message to the KNX home automation system). Preventively, UNCAP turns on the lights of the corridor to illuminate the path to the toilet (included) to help him reach the restroom. After a couple of minutes, he turns off the lights and goes to bed. Longer times standing still in the night may have triggered a warning to a caregiver, as this may indicate a problem.

NOTE: some of the features within the following section may require prior explicit consent by James.

diabetes-528678_1280Family members or caretakers may be alarmed whenever reminders are repeatedly ignored while, whenever a threshold violation is detected, the medical team is notified together with an aggregated report of daily and weekly values (as HL7) to evaluate the patient’s condition. Abnormal patterns and/or extreme values are detected and dispatched to the helpdesk or to the attending doctor who have full access to the elderly heath record (EHR).

The report includes also macroscopic information on physical exercise by James (e.g. number of Km James has walked per day, average time spent still etc.) based on aggregation of position information related to James’ mobile phone, which are automatically retrieved by UNCAP both indoor and outdoor. The most important alerts are also automatically sent to close relatives or to emergency staff either when John clicks on the “emergency function” on one of UNCAP’s devices or whenever UNCAP detects that John has fallen. This event could be triggered, as illustrated earlier, in an autonomous and context-aware manner, fitting the equipment available to detect that a fall has indeed occurred (i.e. sensor flooring, noise patterns recognition, wearable sensors data etc.).


Scenario 1

low-tech informal care (private home) scenario


Scenario 2

moving from specialised care facilities to home


Scenario 4

Long Term Care (LTC) scenario