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Autonomous Human Motion Monitoring System using Wireless Body-worn Sensors, Network, and Computer-based Algorithms

This technology employs a waist-mounted sensor and algorithm that can accurately monitor gait and predict falls. The sensor uses a tri-axial accelerometer to classify gait events into stationary, sit-to-stand or stand-to-sit transitional, walking, running, jumping, and stand-to-kneel or kneel-to-stand transition. The eight tracked features include...

Published: 7/2/2018 | Inventor(s): Tim Dallas, Gabriel Ramirez

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Category(s): Medical Device