Case Study: Silvertree achieves reliable fall detection with SimBex

Silvertree achieves 98% fall detection accuracy with SimBex

Silvertree, a company focused on creating elegant wearable solutions for older adults, needed to develop a highly accurate fall-detection algorithm for a discreet wrist-worn device. The challenge was to overcome the engineering difficulty of distinguishing actual falls from the wide array of normal, and often high-energy, arm movements that occur during daily life. They engaged Simbex to develop this sophisticated algorithm.

Simbex leveraged its extensive biomechanics expertise and proprietary ActiveStep technology to safely simulate a wide range of falls and collect high-quality data. Through iterative feature engineering and algorithm development, Simbex created a dual-stage state transition algorithm that achieved 98% sensitivity in detecting falls while also minimizing false positives. The result was a next-generation wearable wellness device, tailored specifically for Silvertree, that allows active older adults to maintain their independence with confidence.

Silvertree