Shakhizat Nurgaliyev / Hand Gesture Recognition Public

Target: Raspberry Pi RP2040 (Cortex-M0+ 133MHz) Clone this project

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Hand Gesture Recognition

Accelerometer

About this project

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Data (82 samples)

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up-down.37gho5lt

ID: 115652559

Label: up-down

Sample length: 10s

left-right.37giq80o

ID: 115652521

Label: left-right

Sample length: 10s

forward-backward.37gjgfa1

ID: 115652504

Label: forward-backward

Sample length: 10s

idle.37e8io74

ID: 115652566

Label: idle

Sample length: 10s

up-down.37ghujrm

ID: 115652549

Label: up-down

Sample length: 10s

left-right.37gi5cln

ID: 115652539

Label: left-right

Sample length: 10s

idle.37e8k3hc

ID: 115652564

Label: idle

Sample length: 10s

left-right.37gietpv

ID: 115652535

Label: left-right

Sample length: 10s

Model accuracy (Unoptimized (float32))

Validation set

98.5%

Test set

On-device performance (Raspberry Pi RP2040 (Cortex-M0+ 133MHz), Unoptimized (float32))

Latency

36 ms.

Peak RAM usage

5.1K

Flash usage

25.6K

Run this model

On any device

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Dataset summary

Data collected

13m 40s

Sensors

accX, accY, accZ @ 9Hz

Labels

forward-backward, idle, left-right, up-down

Project info

Project ID	115505
Project version	1
License	No license attached
No. of views	11,064
No. of clones	68