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

b78681cc040984.simulated_1.61d7o192

ID: 2267396562

Label: 43

Sample length: 32s

38632e8ec1f287a6.simulated_0.61d7or1v

ID: 2267396571

Label: 71

Sample length: 27s

d0ffb8f9300c66ef

ID: 2267396461

Label: 41

Sample length: 30s

f7f44888034f7852.simulated_0.61d7o5o5

ID: 2267396563

Label: 23

Sample length: 31s

f7f44888034f7852

ID: 2267396460

Label: 23

Sample length: 30s

f6d2825b76397d5b

ID: 2267396494

Label: 8

Sample length: 30s

32fb16fc53468150

ID: 2267396505

Label: 43

Sample length: 30s

626cae50b68235c3.simulated_1.61d7nhbs

ID: 2267396558

Label: 50

Sample length: 28s

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	17,984
No. of clones	4