Assistive Home Automation
The home automation, on its own, assists no one. It turns lights on, regulates temperatures and opens shutters. It is useful, but not enough. It becomes “care-related” when it is designed to support theautonomy, reduce the home risks and make the home an environment capable of working with the person experiencing vulnerability, with those who assist them and with the services that support them. It is a substantive difference: it is not a matter of devices, but of method, priorities and responsibilities.
In the Smart Land Competence Centre assistive home automation is a applied pilot site. The objective is not to “make the home smart”, but to build smart residential units that produce observable benefits: safety, continuity of care, routine management, accident prevention, support for caregivers and operators. If the result is not measurable, it remains a well-executed installation, not a model.
Why the home is now part of the care system
Community care, ageing, chronic conditions and reduced autonomy are shifting the centre of gravity of services: an increasing share of care management takes place outside hospital. And when care moves into the home, the home stops being merely a “context”: it becomes a active variable. A step, insufficient lighting, a night-time event, a change in routine, a caregiver who cannot be present: these are details that can turn a stable situation into a crisis.
Assistive home automation was created to address these details with one clear principle: reduce burden and risk without intruding on everyday life. A solution that works must be discreet, robust, understandable and governable. It must not turn the home into a “clinical” environment, nor require continuous actions from the person that become a barrier over time.
What makes a home-automation solution “care-oriented”
Quality is not measured by the number of sensors. It is measured by the system’s ability to distinguish what is relevant from what is noise. In a assisted-living unit, behavioural and environmental sensors make sense only if linked to rules and to a response model: who receives a signal, when, with what priority, and with what possible action.
Alongside the sensors are the support automation: lighting and scenarios consistent with safety and mobility, contextual reminders, controls that reduce common domestic risks, functions that help maintain routines without imposing complex interfaces. And then there is thedigital integration: teleassistance and telemedicine should not be a “separate module”, but a channel that can be activated when needed, with useful data and context, not a cascade of notifications.
From smart home to replicable residential unit
Many smart homes are bespoke projects: they work as long as the scenario remains the one anticipated. A Competence Centre, instead, thinks in terms of replicability: minimum requirements, standardisable components, configuration rules, indicators and operating conditions that make it possible to apply the same system to multiple homes or care settings.
For the public administration, replicability means moving from a pilot project to a sensible extension without reinventing workflows, roles and quality criteria each time. For investors, it means assessing scalability and sustainability: how much it really costs to run the service over time, how much technical support it requires, what can be standardised, and how it integrates with operators and territorial networks.
The “advanced assistive home automation” line in Smart Land
Along the pathway 2025 Smart Land has launched a research line dedicated to designing assistive home-automation residential units for people with reduced autonomy. The focus isenvironment as a system: behavioural sensors, support automation, safety and mobility solutions, digital tools for teleassistance and telemedicine, interfaces designed for caregivers and healthcare professionals.
This line also considers complex scenarios related to Parkinson’s disease, Alzheimer’s disease and related dementias. Here the challenge is not “monitoring” in generic terms, but recognising useful signals without generating information stress: significant changes in routine, night-time events, disorientation, fall risk, mobility difficulties. A sound project does not promise to eliminate risk; it aims to make it more manageable, more interpretable and easier to target.
How to design without sliding into surveillance
The question is legitimate: “I do not want a house that monitors me”. The answer is not to reject technology, but to design it correctly purposes and levels of intervention. Smart Land works according to three criteria: minimise what is collected (only what is needed), contextualise signals (an isolated event has little value; a sequence interpreted using sensible rules is worth more) and make the operational chain transparent (who receives what and why). If a system sends signals that do not lead to clear actions, it becomes noise and is switched off.
Smart Land methodology: use case, requirements, trial
We start from the use case: what is the primary objective? night-time safety, mobility support, incident prevention, continuity of care? Each objective changes architecture, rules and indicators. Then we clarify requirements and constraints: type of home or facility, available infrastructure, presence of a territorial network, compatibility with teleassistance/telemedicine channels, levels of consent and privacy, service sustainability.
Only then are components and integrations, and a trial is designed to verify what really matters: signal quality, false alarms, operational burden, acceptability for the person and caregiver, and usefulness for operators and decision-makers. Finally, we prepare the replication: minimum specifications, configurations, quality criteria and indicators.
Metrics: few, readable, useful
In assistive home automation, metrics must be lean. Some examples: reduction in traceable incidents or near misses, fewer unmanaged critical events (especially at night), fewer false alarms, response times when escalation is required, long-term adherence (a solution that is switched off shortly afterwards is not a solution), and impact on the caregiver burden. The objective is to link each indicator to a decision: what do we change in the model, what do we simplify, what do we make more robust?
How to work with us: what is really needed at the outset
To assess a project in the Smart Land we ask for a small number of concrete elements: territorial context, target population, operational objective, main constraints, timelines and starting point (data already available, infrastructure, active services). A clear request accelerates technical assessment and helps determine immediately whether the scope is suitable for a trial, a proof of concept or a more structured development pathway.
Choose Technoscience!
If you are designing an initiative in the Smart Land use this form to request an initial operational discussion. In a short call, we align the use case, territorial context, stakeholders involved, available data and infrastructure, organisational constraints and measurable objectives. If the scope is sound, we jointly define a work pathway with clear milestones, explicit responsibilities and verifiable steps towards experimentation and replicability. If essential elements are still missing, we say so immediately, so you can strengthen the project or redefine its scope without wasting time and resources.
Frequently Asked Questions
The questions you ask us most often
A smart home is oriented towards comfort and automation; assistive home automation is designed for autonomy, safety and continuity, with operational rules and integration with caregivers and services.
Not always, but it is often useful to provide an escalation channel. Integration only makes sense if it delivers context and clear actions, not if it simply generates more notifications.
Yes. The assisted-living unit model can be adapted to residential settings and healthcare or care facilities, with appropriate requirements and governance.