Contact person: Elderly Fall-Detection Wearable Band

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Location: Sarasota, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I want to bring to market a comfortable wrist-band for older adults that keeps them safe by detecting falls first and foremost, while also tracking heart-rate and nudging them when it is time to take medication. Real-time heart data should appear on the band’s small display and mirror seamlessly inside a companion app that runs on both iOS and Android phones.

What matters most to me is reliable fall detection that can trigger an instant alert workflow (visual, audible, and push notification) so carers or family members are informed without delay. The heart-rate sensor must provide medically meaningful readings, stored locally on the device and synced to the cloud through the mobile app for long-term trend viewing. Medication reminders can be configured in the app and surface on the band as gentle haptic or sound cues.

I will need:

• Hardware design files (PCB, enclosure, sensor spec) and firmware that integrates the fall-detection algorithm, optical heart-rate sensor, Bluetooth LE connectivity, and low-power management.
• A cross-platform mobile app built with a shared codebase (e.g., Flutter, React Native or similar) that pairs with the band, shows live heart-rate, logs fall events, and lets users schedule medication reminders.
• Basic cloud back-end (Firebase or comparable) for secure data sync and push notifications.
• Source code, build instructions, and a short user guide so I can take the project forward.

Acceptance criteria: the prototype must detect at least 90 % of intentional fall tests without false positives from normal arm movements; heart-rate readings should stay within ±5 bpm of a validated reference monitor; the app must compile and run on current iOS and Android versions, pairing with the band in under 10 seconds.

If you have prior experience with wearable sensor integration, fall detection algorithms, or cross-platform health apps, I would love to see examples." (client-provided description)