MJRoBot (Marcelo Rovai) / XIAO-ESP32S3-Motion-Classification Public

Target: Cortex-M4F 80MHz 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.

XIAO-ESP32S3-Motion-Classification

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 (50 samples)

View all

idle.json.40cmdjis.ingestion-7f6f59c885-v2mjp.s5

ID: 278499851

Label: idle

Sample length: 10s

terrestrial.json.40cmoodg.ingestion-7f6f59c885-v2mjp

ID: 278499881

Label: terrestrial

Sample length: 10s

testing.40d9vnsp

ID: 278503690

Label: terrestrial

Sample length: 10s

maritime.json.40co0vgt.ingestion-7f6f59c885-v2mjp.s2

ID: 278499939

Label: maritime

Sample length: 10s

lift.json.40cnq1hr.ingestion-7f6f59c885-rlm44.s4

ID: 278499955

Label: lift

Sample length: 10s

maritime.json.40co2r14.ingestion-7f6f59c885-zgppq.s3

ID: 278499983

Label: maritime

Sample length: 10s

terrestrial.json.40cmn0s0.ingestion-7f6f59c885-v2mjp

ID: 278500231

Label: terrestrial

Sample length: 10s

idle.json.40cmdjis.ingestion-7f6f59c885-v2mjp.s3

ID: 278499984

Label: idle

Sample length: 10s

Model accuracy (Unoptimized (float32))

Validation set

96.7%

Test set

97.2%

On-device performance (Cortex-M4F 80MHz, Quantized (int8))

Latency

3 ms.

Peak RAM usage

1.7K

Flash usage

15.3K

Run this model

On any device

Clone project

Dataset summary

Data collected

8m 20s

Sensors

accX, accY, accZ @ 50Hz

Labels

idle, lift, maritime, terrestrial

Project info

Project ID	226398
License	Apache 2.0
No. of views	5,815
No. of clones	4