Medical Alert System Using TinyML Fall Detection #WearableWednesday

A medical alert system with fall detection is a great alternative to higher cost detection systems with less capabilities.

via Nathaniel F. on hackster.io

Every two seconds, the TensorFlow Lite Micro model is used to predict whether the user has fallen or not. If the user has not fallen, nothing happens. If a fall was predicted or if the button was pressed, a buzzer turns on, and the 30 second grace period. During the grace period, the user can cancel the alert by pressing the button. If the alert is not canceled, a message is sent to the user’s phone using Bluetooth Low Energy. The phone app, which runs in the background, then sends an SMS message with the user’s location to the emergency phone number that was saved in the app. After receiving the message, the emergency contact can assist the user as they have their location. If a mistake was made—which should be rare with the grace period—the user can always text the emergency contact and tell them it was a mistake.

Read more.


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