EIDSP / IMU Exercise 20% Train Set without Augmentation Public

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IMU Exercise 20% Train Set without Augmentation

About this project

Time Series Data Augmentation Demo

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

Compare: https://studio.edgeimpulse.com/public/751681/latest

Data (137 samples)

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6ad016be0097d81f

ID: 2267445181

Label: 23

Sample length: 30s

d0ffb8f9300c66ef

ID: 2267445183

Label: 41

Sample length: 30s

f6d2825b76397d5b

ID: 2267445214

Label: 8

Sample length: 30s

d2c47f1d9f8602ba

ID: 2267445177

Label: 13

Sample length: 28s

81c79d3517161f

ID: 2267445174

Label: 39

Sample length: 28s

aea41a5c91c9cc2e

ID: 2267445195

Label: 23

Sample length: 30s

24f150aef282f63a

ID: 2267445175

Label: 50

Sample length: 30s

d7bc5610398c6b04

ID: 2267445213

Label: 13

Sample length: 29s

Model accuracy (Unoptimized (float32))

Validation set

82.4%

Test set

66.4%

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

Latency

6 ms.

Peak RAM usage

4.1K

Flash usage

16.9K

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Dataset summary

Data collected

1h 6m 19s

Sensors

accel_x, accel_y, accel_z @ 50Hz

Labels

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

Project info

Project ID	757063
Project version	2
License	BSD 3-Clause Clear
No. of views	14,631
No. of clones	1