Edge Impulse Experts / fallBT Public

Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) Clone this project

Welcome to Edge Impulse, the largest community of edge AI developers!
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.

fallBT

Accelerometer

About this project

Worker fall detection with Bluetooth reporting to a central server

Data (129 samples)

View all

Fall.3b2os7f7.s1

ID: 129444000

Label: Fall

Sample length: 2s

Fall.3b4m9b3k.s2

ID: 129443971

Label: Fall

Sample length: 2s

Stand.3b4lh9jd.s1

ID: 129443930

Label: Stand

Sample length: 2s

Fall.3b73l6c8.s2

ID: 129443911

Label: Fall

Sample length: 2s

Fall.3b2osvte.s1

ID: 129443999

Label: Fall

Sample length: 2s

Fall.3b4lsstc.s2

ID: 129443954

Label: Fall

Sample length: 2s

Fall.3b4m6d2i.s6

ID: 129443956

Label: Fall

Sample length: 2s

Fall.3b73l6c8.s3

ID: 129443913

Label: Fall

Sample length: 2s

Model accuracy (Unoptimized (float32))

Validation set

100.0%

Test set

82.4%

On-device performance (Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz), Quantized (int8))

Latency

14 ms.

Peak RAM usage

3.6K

Flash usage

19.1K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

3m 14s

Sensors

accX, accY, accZ, gyrX, gyrY, gyrZ, magX, magY, magZ @ 100Hz

Labels

Fall, Stand

Project info

Project ID	130968
Project version	1
License	No license attached
No. of views	33,343
No. of clones	125