FLEXA is a comprehensive IoT-based platform for paralyzed hand recovery. It mirrors healthy-hand motion onto the impaired hand, delivers cloud-prescribed exercises, tracks grip-strength recovery with machine learning, and adapts therapy speed in real time based on patient emotion and physiology.
Most patients receive supervised therapy only 2–3 times per week, far below the daily repetition that drives neuroplastic recovery. FLEXA fills this gap with a unified IoT platform built for the home.
Real-time capture of finger angles, grip force, heart rate and patient emotion across every session, streamed to clinicians through Firebase.
Five vacuum-driven soft actuators move each finger independently — a qualitative advance over uniform-actuation gloves on the market today.
A six-sensor grip device feeds a TensorFlow classifier that places each patient on a five-stage recovery scale with 95% accuracy.
NeuroSpeed fuses ensemble facial-expression recognition with EAR, PERCLOS, head pose and HR to throttle therapy speed in under 250 ms.
Whether you are a physiotherapist managing a caseload, a stroke survivor doing daily home therapy, or a researcher exploring tele-rehabilitation, FLEXA delivers strong clinical oversight without enterprise hardware costs.
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