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sklearn SVM Classification

Accelerometer

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Data (223 samples)

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updown.1jufjgpu.ingestion-67dd9db649-kk945

ID: 846186822

Label: updown

Sample length: 3s

idle.idle3.rsi2ebk

ID: 846186892

Label: idle

Sample length: 10s

fistbump.10.12blohla

ID: 846186904

Label: fistbump

Sample length: 5s

updown.0.142hcnug

ID: 846186838

Label: updown

Sample length: 5s

updown.1jt74h64.ingestion-6c5775b99d-5l54j

ID: 846186824

Label: updown

Sample length: 3s

updown.1ur07255.ingestion-58cc487888-5sv4j

ID: 846186807

Label: updown

Sample length: 3s

fistbump.8.12bln627

ID: 846186906

Label: fistbump

Sample length: 5s

wave.wave4.rsi2m6u

ID: 846186760

Label: wave

Sample length: 10s

Model accuracy (Unoptimized (float32))

Validation set

100.0%

Test set

100.0%

On-device performance (Cortex-M7 216MHz, Unoptimized (float32))

Latency

6 ms.

Peak RAM usage

5.5K

Flash usage

39.4K

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Dataset summary

Data collected

23m 21s

Sensors

accX, accY, accZ @ 62.5Hz

Labels

drink, fistbump, idle, snake, updown, wave

Project info

Project ID	357674
Project version	2
License	BSD 3-Clause Clear
No. of views	47,392
No. of clones	23