CLUSTER ALERTS-CAREGIVERS-DASHBOARD · 8 ENTRIES · EARLIEST ENTRY 2025-12-11

Elderly IoT fall detection

This cluster comprises IoT-based health monitoring systems for elderly and high-risk users, focusing on fall detection, vital tracking, and caregiver alerts via dashboards. The dated entries span from June 2013 to July 2026, with sporadic appearances and a recent cluster of entries in late 2025 and 2026. All traction leaders show zero stars, indicating minimal public engagement, with alpha-squared-iooot listed first.

Entry timeline

ENTRY TIMELINE

JUN 2013: 1DEC 2025: 1FEB 2026: 1MAY 2026: 1JUL 2026: 1AUG 2026: 2OCT 2026: 1
JUN 2013OCT 2026

Members by activity

Activity signals, not revenue.

Build origin · 1 hand-coded · 7 unlabelled

Operator · 2 hobby · 2 commercial · 4 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 8 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01alpha-squared-iooot0★15 dayslivehobbyIoT health monitoring system for elderly and high-risk users that tracks vitals and falls and alerts caregivers through a live dashboard.
  2. 02Sway Medical0★2 molivecommercialMobile app that uses a phone's motion sensors to measure balance and reaction time, helping clinicians assess fall risk and track injury recovery.
  3. 03geriatric-fall-detection-iot-gateway-nuxt3-ts-v2026-b610★1 mo—Gateway for integrating radar and insole sensors to detect falls in elderly care.
  4. 04matercare-homes0★3 molivecommercialEldercare monitoring platform that combines passive IoT sensors, prescription scanning, and caregiver alerts to track seniors who don't use smartphones.
  5. 05wearable-mobilidade-idosos1★6 mostaleliveWearable sensor and web dashboard system that lets physiotherapists conduct and track standardized mobility and fall-risk tests for elderly patients.
  6. 06smart-cane-firebase-web0★2 molivehobbyWeb dashboard that receives sensor data from a smart cane over Bluetooth and alerts caretakers to falls, obstacles, and SOS events in real time.
  7. 07TDG0★2 mo—IoT application that detects falls using sensor data and sends alerts to caregivers.
  8. 08Caregiver-Dashboard0★4 molivehand-codedDashboard for caregivers to monitor Alzheimer's patient data from a wearable device.