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The study evaluates real-world gait assessment with a dual IMU approach and machine learning to predict balance impairment.
EmailNavigation Solutions LLC proposes the RT-BLE-001, a compact, wireless, real-time foot-tracking device that streams research-grade kinematics to a mobile device. The pilot compares two-minute walk measures collected in clinic and at home, examines effects of balance impairment on these differences, and uses seven days of daily activity data to train machine learning models for predicting balance impairment and fall risk.
Founder of Care Daily developing AI-powered caregiving and home monitoring tools.
Harvard psychiatrist researching digital markers of mood and cognitive disorders.
Neuropsychologist at Johns Hopkins studying cognitive and neuropsychiatric measurement in aging.
CEO of CareYaya using AI to scale caregiver and elder support technologies.
Johns Hopkins expert in vestibular and balance rehabilitation for older adults.
McLean Hospital researcher studying digital tools for cognitive and emotional health in aging.
