Wing / boxing-moves Public

Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) 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.

boxing-moves

Accelerometer

About this project

This project will collect boxing moves (jab, cross, hook and uppercut) and subsequently train a model for motion recognition.

Data (150 samples)

View all

LeftUppercut.2tv0811n

ID: 84895857

Label: Uppercut

Sample length: 10s

JumpJab.2tuloff3

ID: 84895882

Label: Jab

Sample length: 10s

MMACross.2tvghtg3

ID: 84895845

Label: Cross

Sample length: 10s

KUppercut.2tubr8s7

ID: 84895904

Label: Uppercut

Sample length: 10s

MMAUppercut.2tvgq7bj

ID: 84895842

Label: Uppercut

Sample length: 10s

JumpUppercut.2tum4pfm

ID: 84895877

Label: Uppercut

Sample length: 10s

JumpReady.2tunea8m

ID: 84895862

Label: Ready

Sample length: 10s

MUppercut.2u1mjllt

ID: 84895826

Label: Uppercut

Sample length: 10s

Model accuracy (Unoptimized (float32))

Validation set

88.5%

Test set

87.9%

On-device performance (Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz), Quantized (int8))

Latency

12 ms.

Peak RAM usage

5.1K

Flash usage

19.9K

Run this model

On any device

Clone project

Dataset summary

Data collected

25m 0s

Sensors

accX, accY, accZ @ 100Hz

Labels

Cross, Hook, Jab, Ready, Uppercut

Project info

Project ID	86666
Project version	4
License	No license attached
No. of views	14,671
No. of clones	40