Get Grooven at a Glance
- Falls are common for seniors, with more than 14 million older adults, or roughly one in four over the age of 65, reporting a fall every year.
- Wearables are an option now instead of a requirement, as passive sensors and cameras can detect a fall without a device.
- AI is reading behavior, learning a resident’s normal patterns and flagging meaningful changes in movement, sleep, or daily activity.
- Paired with leak detection, smart thermostats, and connected appliances, fall prevention solutions create broader oversight without added supervision.
- A fall detection system is only as reliable as the last time someone checked it. Make sure to regularly test your system.
Why Fall Prevention is a Growing Priority in Senior Living
It’s no secret that a fall can seriously impact the health of a senior citizen. In fact, falls are the leading cause of injury for adults 65 years of age and older. According to the Centers for Disease Control (CDC), around one in four older adults, approximately 14 million, report falling every year. Ultimately, over a third of those falls result in a serious injury needing medical treatment. Given those numbers, it’s no surprise that fall detection has become a focus for senior living communities.
McKnight’s Senior Living points to technology adoption as a clear path to reduce fall risk for assisted living residents. Communities are adopting fall detection solutions now more than ever. In essence, the technology offers both a quick response to an emergency as well as insights from health patterns. This data helps paint a whole-health picture. This article looks at how fall detection solutions have evolved and how they are already changing the way senior living communities protect their residents.
The Evolution From Only Wearables to Hybrid Monitoring
For years, fall detection meant a resident wearing a pendant or a wristband that they had to remember to wear and press if they fell. While these devices worked, they depended entirely on the resident remembering to put them on and staying conscious enough to use them after a fall.
Newer systems have removed that dependency. Passive monitoring technology can now sense a resident’s presence, movement, and even a fall itself without any wearable at all. Some of these systems work through sensors built into a television or mounted in a room, picking up motion the same way gaming systems have tracked movement on their platforms for years. Others combine camera-based monitoring with artificial intelligence to identify a fall in real time and alert staff immediately.
This shift matters most for residents who are the least likely to use a wearable consistently. Consider the difference these systems make to those living with memory loss. A system that watches the room, rather than solely relying on a device, closes a real gap in coverage.
“It’s a real revolution, especially the last couple of years. You’ve gone from a little button on a pendant to systems that are much more of a hybrid now, merging cameras, sensors, and AI together instead of relying on just one piece of technology.”
– Tom Johnson, Director of Technology for Access Control, Safety and Security at Groove
How Fall Detection Notifications Actually Work
Fall detection works as a chain of steps that has to operate correctly every time.
Detecting the Event
Depending on the system, detection happens one of a few ways. A traditional pendant or watch relies on the resident pressing a button. Passive systems work differently, using motion sensors, RF signals, or camera-based artificial intelligence to sense a fall without any action from the resident.
Sending the Signal
Once a system detects a fall, it has to get that information from the resident’s room to a staff member fast. Most modern systems send this alert over a dedicated network built specifically to carry this kind of data, separate from general building Wi-Fi, so the signal has as little interference as possible.
Routing the Alert
Where that alert actually goes depends on the system and how a community has it configured. Some notifications go directly to an app on a staff member’s phone or tablet. Others route through a nurse call station, available for communities with the appropriate infrastructure in place. A number of systems also integrate directly with existing nurse call platforms, layering fall detection on top of a tool staff already use every day.
Building in a Backup
Some communities also wire in a secondary, hardwired layer, such as a light or relay outside a resident’s door that activates the moment an alert triggers. This approach does not depend on software or network connectivity to work, so it functions as a fail-safe if the primary system runs into an issue.
This layered approach with detection, transmission, routing, and backup is what makes a fall detection system dependable rather than just impressive on paper. Every one of those steps depends on the network behind it working correctly, which is why infrastructure deserves just as much attention as the sensors and software themselves.
How AI Is Learning To Spot Behavioral Patterns That Reveal Health Changes
The most significant change in fall prevention technology is how it has started noticing shifts in a resident’s daily behavior long before a fall or a health event ever occurs.
Systems built on artificial intelligence (AI) have the means to establish a baseline of a resident’s normal patterns. This includes how often they get up at night, how they walk, how steady their gait is at different times of day, and how much they move overall. Over a period of weeks, the system learns what is typical for that individual. Once it has that baseline, it can flag a genuine change. This could be a resident moving more slowly than usual, overall activity dropping off, or nighttime waking becoming more frequent.
These shifts often say more about a resident’s broader health than they do about fall risk alone. A resident who typically gets several thousand steps a day and suddenly drops to a fraction of that may be dealing with an illness or a new mobility issue worth a closer look. A resident who starts getting up several times a night to use the bathroom, when that was not their pattern before, could be showing an early sign of something their care team should know about. Even a stove turning on in the middle of the night for someone who doesn’t cook that late can be a meaningful signal on its own.
This is where the technology becomes more than a safety tool and functions as an early indicator of changing health. Rather than waiting for a fall or a medical event to happen, staff and family members can use these patterns to schedule a check-in or flag something for a resident’s healthcare provider before it becomes urgent.
“The technology builds a baseline on things like gait analysis and nighttime activity, so it can recognize when a resident is more at risk, like waking to use the bathroom in the dark, and respond proactively with things like turning on the lights or alerting staff.”
– Tom Johnson, Director of Technology for Access Control, Safety and Security at Groove
This layer of technology is still relatively new and continues to improve as more data becomes available. For the future of senior living property technology, it represents a meaningful shift from only watching for falls to understanding a resident’s health as a whole.
How Connected Smart Technology Extends That Oversight Even Further
Fall prevention and behavioral monitoring become even more valuable when they connect to the other smart systems already running. Rather than operating as separate tools, technologies work best as one connected network, each adding another layer of insight.
Leak Detection
Leak detection is one of the clearest examples. A water sensor placed near a sink, tub, or appliance can catch a leak or an overflowing bath within minutes rather than hours. This early notification protects both the resident and the property from damage. Leak detection ties directly back to the behavioral patterns, considering how a bath left running unattended is as much a wellness signal as it is a maintenance concern.
Smart Thermostats and Energy Management
Smart thermostats add another layer of both comfort and safety. A connected thermostat can maintain a safe, consistent temperature in a resident’s space automatically. This matters for residents who may not notice or adjust their environment when they are too hot or too cold. Unusual changes in how a resident interacts with their thermostat, or a room that stays at an uncomfortable temperature for an extended period, can be a useful data point for family and staff.
Connected Appliances
Certain appliances, including Internet of Things (IoT) enabled stoves and cooktops, bring the same principle to the kitchen. A stove that stays on after a resident has left the room can trigger an alert the same way a fall or leak would. This closes a real safety gap that traditional fall detection alone was never designed to cover.
Individually, each of these technologies solves a specific problem. Together, they build a more complete picture of a senior’s daily life. The advantages are twofold, giving staff broader oversight without requiring more hands-on supervision, and giving residents more independence because the systems around them are quietly doing the watching.
Why Network Reliability Matters As Much As The Technology Itself
None of these systems work without a stable, reliable network behind them. Fall detection technology depends on consistent signal strength and connectivity to send an alert the moment something happens. For that reason, many communities choose to run these systems on a dedicated network, separate from general Wi-Fi and other traffic. This separate network ensures a signal issue elsewhere in the building does not affect a resident’s safety system.
Redundancy matters too. Some communities layer a hardwired backup alongside their networked system, so an alert can still reach staff even if the primary network experiences an issue. The goal is a system residents and staff can depend on without exception.
“There’s no such thing as overkill when it comes to fall detection. I’d rather have too much in place to alert somebody than not enough.”
– Tom Johnson, Director of Technology for Access Control, Safety and Security at Groove
Testing and Human Oversight Still Matter Most
Technology alone does not keep residents safe. Every fall detection system needs regular testing to confirm it still works as intended, the same way a community tests fire alarms. Batteries fail, wiring can degrade, and software updates can shift how a system performs.
Communities that build in regular testing, whether that is a few times a year for general systems or more frequently for higher-risk memory care settings, catch problems before they matter. The technology is only as reliable as the people who check it.
The Business Case For Fall Detection Technology
Beyond resident safety, communities that invest in modern fall prevention technology often see real operational benefits.
- Staff Efficiency – Passive monitoring reduces the number of manual room checks staff need to perform. This frees up time for direct resident care.
- Reduced Caregiver Burnout – Fewer overnight checks and false alarms mean caregivers can focus their energy where it is needed most.
- Family Peace of Mind – Families gain confidence knowing a system is watching for changes, even when they cannot be there in person.
- Resident Independence – Passive systems let residents move through their day without wearing a device, supporting a greater sense of autonomy.
- Liability Reduction – A documented, tested safety system supports a community’s ability to demonstrate a proactive approach to resident care.
- Marketing Advantage – Advanced safety technology gives prospective residents and their families a tangible reason to choose one community over another.
Choosing the Right Fall Detection Solution for Your Community
Every community has different needs based on the level of care it provides, from independent living to memory care. The right combination of wearable devices, passive sensors, camera-based monitoring, and predictive analytics depends on the residents a community serves and the level of oversight staff can realistically maintain.
There isn’t a single best technology for every resident, because every community and every resident has different needs. The strongest senior living communities don’t choose between wearables, passive monitoring, or wander protection. Instead, leadership matches the technology to a resident’s level of independence, acuity, and care plan.
That’s the approach Groove takes with every community we work with. Groove helps communities build layered safety solutions that evolve as resident needs change, giving caregivers the right tools at the right time while helping residents maintain as much independence as possible.
Curious about how a fall detection system would work in your community? Groove serves senior and assisted living communities across the country with expert property technology solutions like fall detection. Connect with our team today for a no-strings-attached consultation.
