Shakhizat Nurgaliyev / Hand Gesture Recognition Public

Target: Raspberry Pi RP2040 (Cortex-M0+ 133MHz) 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.

Hand Gesture Recognition

Accelerometer

About this project

This public Edge Impulse project does not have a README yet. Clone this project to add new data or retrain this project, or to deploy this project to a device.

Data (82 samples)

View all

idle.37e8k3hc

ID: 115652564

Label: idle

Sample length: 10s

up-down.37ght5hk

ID: 115652552

Label: up-down

Sample length: 10s

idle.37e8n4kr

ID: 115652563

Label: idle

Sample length: 10s

forward-backward.37gjp9t7

ID: 115652496

Label: forward-backward

Sample length: 10s

idle.37giktu0

ID: 115652525

Label: idle

Sample length: 10s

idle.37e8fgq5

ID: 115652569

Label: idle

Sample length: 10s

idle.37gikgj1

ID: 115652528

Label: idle

Sample length: 10s

left-right.37gi5cln

ID: 115652539

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

Clone project

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	11,390
No. of clones	68