Strength training and mobility exercise have demonstrated effectiveness in preventing falls; however, incorrect use of mobility aids, such as walkers and canes, often interferes with posture and balance, potentially leading to even greater fall risks. Research by Liu et al. (2011) highlights that while mobility aids are intended to improve stability, improper use can actually worsen and alter posture and lead to falls.

How fallgard helps:

Fallgard™ harnesses the power of advanced AI to deliver unparalleled real-time posture monitoring and fall detection. Equipped with an integrated suite of sophisticated camera systems and cutting-edge sensors, the system continuously tracks the user’s body position, postural deviations, and movements with exceptional accuracy. Fallgard™ meticulously detects even the most subtle deviations, including forward tilting (kyphosis), lateral shifts (scoliosis), and head misalignments such as flexion or side tilting.

Elderly patients using walkers require continuous feedback to maintain proper posture

Addressing poor posture to reduce fall risk among elderly individuals, particularly those relying on walkers and other assistive devices, requires continuous, real-time feedback—a level of support that is often challenging for caregivers to provide consistently. The complexity of maintaining proper posture and balance is compounded by age-related sensory impairments, including diminished vision, hearing, and proprioceptive function (Horak, 2006). These sensory deficits impair the ability to perceive and respond to changes in body position, increasing the risk of postural instability and falls (Shumway-Cook et al., 1997).

How fallgard helps:

This invention provides a solution that encourages active correction and user engagement. By giving immediate, real-time feedback through sensory cues, it stimulates muscle memory, improves balance, and reinforces correct posture. Unlike wearable braces, this device does not restrict movement or comfort, making it more suitable for long-term use. It can be attached to any mobility aid, allowing elderly users a seamless and practical method to improve posture and stability without sacrificing comfort.

Conditions like neuropathy, arthritis, joint pain, and biomechanical impairments further complicate balance and posture control in elderly patients.

As Tominaga et al. (2016) found, hyperkyphotic posture increases the likelihood of falls, and individuals with altered gait or improper walker use are at even higher risk. Caregivers and clinicians face considerable challenges in monitoring these patients closely enough to provide real-time posture correction, resulting in a need for supportive technology that can offer constant, individualized feedback.

How fallgard helps:

Fallgard™ redefines precision in fall prevention with its state-of-the-art processors, seamlessly integrated with AI and advanced machine learning (ML) algorithms. This intelligent system conducts sophisticated analyses of posture and movement data, dynamically adapting its feedback to align with the user's unique physical capabilities, posture history, and movement patterns.
By leveraging ML, Fallgard™ continuously refines its understanding of the user, enabling real-time detection of deviations from baseline posture, shifts in the center of mass, or potential fall risks. When such anomalies are identified, the system instantly processes the data and activates a multi-sensory feedback mechanism—delivering visual, auditory, and tactile prompts tailored to the user’s needs.