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The prototype uses ankle and phone IMUs with a transformer model to detect events and compute pickup and clearance metrics.
EmailThis project develops and validates a wearable intelligent system using an IMU platform and smartphone application to monitor two biomarkers—Time of Pickup (ToP) and Vertical Foot Clearance (VFC). Transformer-based event detection on IMU signals identifies steps and pickup phases to compute the measures over daily activities, enabling portable, lower-burden assessment of functional decline 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.
