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

141cccead3f93370

ID: 2267396495

Label: 41

Sample length: 30s

24f150aef282f63a

ID: 2267396453

Label: 50

Sample length: 30s

687e3645bc6e0bd8

ID: 2267396502

Label: 71

Sample length: 30s

f6d2825b76397d5b

ID: 2267396494

Label: 8

Sample length: 30s

5bc2bc9a499bb207.simulated_0.61d7jheg

ID: 2267396512

Label: 23

Sample length: 30s

c6b687c5b9915646

ID: 2267396463

Label: 13

Sample length: 20s

d2c47f1d9f8602ba

ID: 2267396457

Label: 13

Sample length: 28s

2cf5c3c26c828f2a

ID: 2267396504

Label: 39

Sample length: 30s

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	7,482
No. of clones	3