EIDSP / IMU Exercise 20% Train Set with Augmentation Public

Target: Cortex-M4F 80MHz 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.

IMU Exercise 20% Train Set with Augmentation

About this project

https://github.com/microsoft/Exercise-Recognition-from-Wearable-Sensors

Data (193 samples)

View all

b9142a39ffe248ac.simulated_0.61d7ksqo

ID: 2267396526

Label: 42

Sample length: 30s

4138a531f46dcdf7

ID: 2267396508

Label: 23

Sample length: 30s

a1d19e447045ff44

ID: 2267396456

Label: 8

Sample length: 30s

b9478ac296d26611.simulated_1.61d7jouu

ID: 2267396515

Label: 42

Sample length: 36s

b9142a39ffe248ac.simulated_1.61d7ku55

ID: 2267396527

Label: 42

Sample length: 34s

39974fcbb2e0a343.simulated_0.61d7mahu

ID: 2267396538

Label: 39

Sample length: 17s

efb87ba0c1f51025

ID: 2267396491

Label: 23

Sample length: 30s

1bf0092790ea4c11.simulated_0.61d7n9or

ID: 2267396554

Label: 39

Sample length: 19s

Model accuracy (Unoptimized (float32))

Validation set

85.4%

Test set

74.1%

On-device performance (Cortex-M4F 80MHz, Unoptimized (float32))

Latency

6 ms.

Peak RAM usage

4.1K

Flash usage

16.9K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

1h 33m 33s

Sensors

accel_x, accel_y, accel_z @ 50Hz

Labels

13, 23, 39, 41, 42 and 4 others

Project info

Project ID	751681
Project version	3
License	BSD 3-Clause Clear
No. of views	10,301
No. of clones	3