Wearable technology is giving dementia care a new source of information: continuous measurements collected during ordinary daily life. Smartwatches, activity trackers, GPS devices, smart glasses and specialised wearable sensors can monitor movement, sleep, location and, depending on the device, physiological signals. For people living with dementia, these technologies can support safety, independence, communication and monitoring without requiring every observation to happen during a clinic visit.
The technology is promising, but its role is more nuanced than the phrase “smart dementia care” suggests. Wearables can measure changes in behaviour or physiology, yet they generally cannot determine their cause. Recent systematic reviews find potential across mobility, sleep, physiological monitoring, cognitive support and caregiver communication, while also highlighting small study populations, inconsistent outcome measures, usability problems and limited evidence from long-term real-world use.
What wearable technology can actually do
A wearable is simply a device that is worn on, attached to or carried by a person.
In dementia care, the category includes:
- Smartwatches and fitness trackers
- GPS watches and location devices
- Emergency-alert pendants
- Activity monitors
- Fall-detection devices
- Physiological sensors
- Smart glasses
- Specialised clothing or textile-based sensors
Some are conventional consumer products adapted for care. Others are being developed specifically for dementia or research.
The information collected varies considerably. A smartwatch may record movement and heart rate. A GPS device may provide location information. A specialised sensor could measure gait or other physiological characteristics.
This makes it misleading to treat all wearable technology as one type of medical device.
Wearables can help people stay safer
Safety is one of the most established practical applications.
A wearable location device can help a person who enjoys walking remain connected with family or caregivers if they become lost. Depending on the device, it may provide GPS positioning, an emergency button or two-way communication.
Alzheimer’s Society identifies tracking devices, location-monitoring services, boundary alarms and wearable community alarms among technologies that can support safer walking and independent living. It also recommends considering factors such as charging requirements, indoor performance, signal strength and how an alert would actually be handled.
The objective is not necessarily to prevent a person from going outside. In some circumstances, technology can make it more feasible for them to continue activities they value while giving others a way to respond if something goes wrong.
That distinction matters because dementia care involves balancing safety with autonomy.
Location monitoring can provide reassurance—but raises questions
GPS-enabled wearables can be particularly useful when there is a risk that someone may become lost.
A caregiver may be able to see a person’s location through an app or receive an alert when they move outside a predefined area.
But location monitoring can also become intrusive.
Before using it, families should consider whether the person understands the technology, whether they agree to it where possible, who can access the location data and what happens when the device is lost, removed or switched off.
Alzheimer’s Society advises that technology designed to keep someone safe should respect privacy and independence rather than becoming unnecessarily restrictive.
The practical question is therefore not simply whether GPS is available. It is whether location information solves a genuine safety problem in a proportionate way.
Wearables can measure movement
Movement is one of the most extensively studied applications of wearable technology in dementia research.
Accelerometers and related sensors can record patterns of physical activity, while more specialised devices can analyse aspects of gait and mobility.
Researchers are interested in changes such as:
- Reduced physical activity
- Changes in walking patterns
- Altered gait
- Changes in daily activity rhythms
- Differences between daytime and nighttime movement
- Longer-term changes in mobility
A 2026 systematic review of wearable and related technologies for Alzheimer’s disease identified mobility and gait assessment among the principal application areas. The authors found preliminary evidence of feasibility but emphasised that the studies were generally small and early-stage.
This could eventually give clinicians another source of information about functional changes.
But a wearable detecting slower walking does not establish why someone is walking more slowly. It could reflect cognitive decline, arthritis, fatigue, medication, an injury or another health problem.
Sleep is another important application
Sleep disturbances are common in dementia, and wearable devices can provide information that is difficult to obtain from occasional appointments or memory-based reports.
A wearable may track movement during sleep and, depending on its sensors and software, estimate measures such as sleep duration or interruptions.
Researchers are interested in whether persistent changes in sleep and circadian rhythms could provide useful digital biomarkers.
A 2026 systematic review of wearable technologies for early detection of cognitive impairment and dementia found associations between disrupted sleep, circadian rhythms and cognitive outcomes across the literature. However, the authors also identified short monitoring periods and limited external validation as important weaknesses.
Wearables therefore offer a potentially valuable continuous measurement, but sleep estimates from consumer devices should not automatically be treated as equivalent to a clinical sleep study.
For some people with dementia, an alternative may be a sensor that does not need to be worn at all. Research supported by Alzheimer’s Society, for example, is using an under-mattress sensor to monitor sleep, nighttime behaviour, heart rate and breathing because prolonged use of wearables can be difficult for some people with dementia.
That highlights an important principle: the best technology is not necessarily the one with the most sensors; it is the one a person can realistically use.
Wearables can support earlier detection of changes
Continuous monitoring creates the possibility of detecting changes that might otherwise be missed.
Imagine a person’s usual activity level remains fairly stable for months, then gradually declines. A wearable could reveal the change before it becomes obvious from a single conversation with a doctor.
Similarly, changes in sleep or movement could provide an additional signal that something has changed.
AI can make this more sophisticated by comparing new measurements with historical patterns.
Instead of simply reporting:
“Activity today: 2,100 steps.”
an analytical system might identify:
“Activity has remained substantially below this person’s usual level for several days.”
That second observation may be more clinically interesting.
However, it still does not identify the cause. A change in activity could be caused by illness, medication, pain, weather, mood or an altered routine.
Recent research therefore treats wearable measurements as potential digital biomarkers or early-warning signals, rather than established standalone diagnostic tests.
AI can turn raw measurements into patterns
A wearable can generate an enormous amount of data.
The challenge is deciding what matters.
AI and machine-learning techniques can potentially analyse combinations of measurements over time, looking for patterns associated with cognitive or functional changes.
For example, a system could combine:
- Sleep disruption
- Reduced daytime activity
- Changes in movement
- Altered circadian patterns
The resulting pattern may be more informative than any one measurement.
This is part of the broader shift toward digital biomarkers—measurable signals generated by digital devices that researchers hope can provide objective information about health or disease.
A 2025 systematic review of wearables, smart-home systems and mobile applications in dementia care found that wearable technologies were being used for areas including self-care, health behaviour and neurocognition. But the review also found substantial methodological variation, small samples and accessibility problems.
The technology can therefore generate valuable information without yet having established clinical significance for every measurement.
Smart glasses could provide a different kind of assistance
Not every wearable needs to monitor health.
Smart glasses are being explored as an assistive interface for people with dementia.
Alzheimer’s Society reported in 2026 that CrossSense won the £1 million Longitude Prize on Dementia for Wispy, an AI-powered assistant designed for smart glasses and intended to provide personalised support for people with early-stage dementia.
The potential application is quite different from a fitness tracker.
Instead of asking:
“What is happening to this person’s body?”
the technology can potentially ask:
“What information could help this person navigate the task in front of them?”
Depending on how such systems develop, smart glasses could potentially provide contextual prompts, reminders or assistance with recognising objects and navigating familiar activities.
But these systems also introduce questions about accuracy, privacy, usability and dependence on AI-generated information. Their long-term clinical benefits still require evaluation.
Wearables can support caregivers as well
The person wearing the device is not necessarily the only beneficiary.
Wearable data can potentially give caregivers a clearer picture of activity between visits.
For example, a caregiver might see that a person’s physical activity has changed substantially or receive an emergency alert after a suspected fall.
This can reduce some uncertainty, particularly when relatives do not live nearby.
A 2025 systematic review found caregiver support to be one of the recurring objectives of digital dementia technologies, alongside self-care and behavioural management.
But monitoring can also increase caregiver workload if systems produce too many alerts.
A technology that sends ten ambiguous notifications every day may be less useful than one that produces fewer, more actionable alerts.
The wearable has to be acceptable to the person
This is one of the biggest practical challenges.
A technically sophisticated wearable has little value if the person refuses to wear it, forgets to put it on, removes it at night or cannot remember to charge it.
Alzheimer’s Society recommends introducing technology early when possible, because people may find it easier to become familiar with devices before dementia progresses. It also stresses that technology should be selected around the person’s needs and routine.
Research into long-term wearable studies has similarly identified device selection, usability, recruitment and adherence as important factors in keeping people engaged with wearable technology.
This is why a simple device that someone willingly uses every day can be more useful than a technically advanced product that spends most of its time in a drawer.
Wearable technology is not always the right solution
There are situations where a smart-home sensor may be more appropriate.
Someone may struggle to remember to wear a watch but tolerate an under-mattress sleep sensor. A person who removes wearable devices at night might be better served by room or bed sensors.
Conversely, someone who regularly walks outside may benefit from a location-enabled wearable that provides protection beyond the walls of the home.
The distinction is increasingly important as dementia technology expands. Current research covers wearables, smart homes and mobile applications, but the evidence does not establish that one category consistently works better than the others.
The appropriate technology depends on the problem being addressed.
Privacy and data security cannot be an afterthought
Wearables can collect intimate information about a person’s movements, location, sleep and sometimes physiological state.
That creates legitimate questions about data access and retention.
Before adopting a device, families should establish:
- What information the device collects
- Whether data is stored on the device, a phone or remote servers
- Who can access it
- Whether information is shared with other organisations
- How long it is retained
- What happens if the device or account is lost
- Whether the person understands the monitoring
Location data deserves particular care because it can reveal where someone spends time and when they leave home.
The more powerful the monitoring system becomes, the more important it is to distinguish useful care information from information collected simply because the technology can collect it.
What the evidence can—and cannot—support
The research base is expanding, but it is not yet strong enough to support every claim made about wearable dementia technology.
A 2026 systematic review identified only 10 studies meeting its eligibility criteria for wearable and wearable-adjacent technologies in Alzheimer’s disease. The applications included physiological monitoring, mobility and gait assessment, cognitive and spatial support, and caregiver communication, but the authors emphasised small sample sizes, heterogeneous outcomes and predominantly early-stage study designs.
Another 2025 systematic review covering wearables, smart-home systems and apps included 24 studies and found potential benefits, while noting that substantial methodological heterogeneity prevented a quantitative meta-analysis. Accessibility and ongoing technical support were also recurring challenges.
The evidence therefore supports potential, not a universal guarantee of improved clinical outcomes.
What to check before choosing a wearable
The most useful questions are practical rather than technological.
Does the person want to use it? Consent and comfort matter.
How often does it need charging? A device that stops working every day because its battery is empty cannot provide continuous monitoring.
What happens if it is removed? Some systems can alert caregivers; others simply stop collecting data.
Does it work where the person actually spends time? GPS, cellular and Bluetooth functionality can vary by environment and service.
Who responds to alerts? An alert without someone responsible for acting on it has limited value.
What evidence supports the specific function? Evidence that wearables are useful in research does not establish that every consumer device accurately measures every health variable it claims to track.
What does it cost over time? Include subscriptions, connectivity, replacement straps, batteries and other ongoing expenses.
Wearables are becoming part of a larger care system
The most significant change may not be the smartwatch itself.
Wearable technology is increasingly being combined with smart-home sensors, smartphones, clinical records and AI-based analysis. A wearable might monitor movement while home sensors track activity and an analytical system looks for changes across both sources.
That creates a potentially richer picture of how someone is functioning between clinical appointments.
It also creates greater responsibility around privacy, interoperability, accuracy and human oversight.
For readers interested in how this wider ecosystem is developing, From Smart Beds to Door Sensors: The Technology Behind AI Dementia Care at Home looks at the sensors and connected systems being used inside the home.
Research and emerging services are also exploring whether continuous monitoring can identify health changes earlier. AI and Smart Sensors Could Help Detect Illness Earlier in People Living With Dementia examines that question in more detail, while Dementia Care Moves Into the Home as AI Monitors Sleep, Movement and Daily Routines explores the broader shift toward home-based monitoring.
The emerging model is therefore less about giving someone a gadget and more about building a connected care system around their everyday life.
The next stage is proving that better data leads to better care
Wearable technology has already demonstrated that it can collect information about activity, sleep, location and other aspects of daily life without requiring constant clinical observation. Research is now moving toward the harder question: whether those measurements can reliably identify meaningful changes and improve decisions about care.
For people living with dementia, the most valuable wearable may ultimately be one that combines reliable measurement, unobtrusive design, long battery life, strong privacy controls and genuinely useful alerts. AI may make those measurements easier to interpret, but it does not remove the need for caregivers and clinicians to understand the person behind the data.
The future of wearable dementia care will therefore depend less on how many metrics a device can record than on whether those measurements help a person remain safer, more independent and better supported without sacrificing dignity or control.